Table of contents for issues of ACM Transactions on Knowledge Discovery from Data (TKDD)

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Volume 1, Number 1, March, 2007
Volume 1, Number 2, August, 2007
Volume 1, Number 3, December, 2007
Volume 1, Number 4, January, 2008
Volume 2, Number 1, March, 2008
Volume 2, Number 2, July, 2008
Volume 2, Number 3, October, 2008
Volume 2, Number 4, January, 2009
Volume 3, Number 1, March, 2009
Volume 3, Number 2, April, 2009
Volume 3, Number 3, July, 2009
Volume 3, Number 4, November, 2009
Volume 4, Number 1, January, 2010
Volume 4, Number 2, May, 2010
Volume 4, Number 3, October, 2010
Volume 4, Number 4, October, 2010
Volume 5, Number 1, December, 2010
Volume 5, Number 2, February, 2011
Volume 5, Number 3, August, 2011
Volume 5, Number 4, February, 2012
Volume 6, Number 1, March, 2012
Volume 6, Number 2, July, 2012
Volume 6, Number 3, October, 2012
Volume 6, Number 4, December, 2012
Volume 7, Number 1, March, 2013
Volume 7, Number 2, July, 2013
Volume 7, Number 3, September, 2013
Volume 7, Number 4, November, 2013
Volume 8, Number 1, February, 2014
Volume 8, Number 2, June, 2014
Volume 8, Number 3, June, 2014
Volume 8, Number 4, August, 2014
Volume 9, Number 1, August, 2014
Volume 9, Number 2, September, 2014
Volume 9, Number 3, April, 2015
Volume 9, Number 4, June, 2015
Volume 10, Number 1, July, 2015
Volume 10, Number 2, October, 2015
Volume 10, Number 3, February, 2016
Volume 10, Number 4, July, 2016
Volume 11, Number 1, August, 2016
Volume 11, Number 2, December, 2016
Volume 11, Number 3, April, 2017
Volume 11, Number 4, August, 2017
Volume 12, Number 1, February, 2018
Volume 12, Number 2, March, 2018
Volume 12, Number 3, April, 2018
Volume 12, Number 4, July, 2018
Volume 12, Number 5, July, 2018
Volume 12, Number 6, October, 2018
Volume 13, Number 1, January, 2019
Volume 13, Number 2, June, 2019
Volume 13, Number 3, July, 2019
Volume 13, Number 4, August, 2019
Volume 13, Number 5, October, 2019
Volume 13, Number 6, December, 2019
Volume 14, Number 1, February, 2020
Volume 14, Number 2, March, 2020
Volume 14, Number 3, May, 2020
Volume 14, Number 4, July, 2020
Volume 14, Number 5, August, 2020
Volume 14, Number 6, October, 2020
Volume 15, Number 1, January, 2021
Volume 15, Number 2, April, 2021
Volume 15, Number 3, May, 2021
Volume 15, Number 4, June, 2021
Volume 15, Number 5, June, 2021
Volume 15, Number 6, July, 2021
Volume 16, Number 1, February, 2022
Volume 16, Number 2, April, 2022
Volume 16, Number 3, June, 2022
Volume 16, Number 4, August, 2022
Volume 16, Number 5, October, 2022
Volume 16, Number 6, December, 2022
Volume 17, Number 1, January, 2023
Volume 17, Number 2, February, 2023
Volume 17, Number 3, April, 2023
Volume 17, Number 4, May, 2023
Volume 17, Number 5, June, 2023
Volume 17, Number 6, July, 2023
Volume 17, Number 7, August, 2023
Volume 17, Number 8, September, 2023
Volume 17, Number 9, November, 2023
Volume 18, Number 1, January, 2024
Volume 18, Number 2, February, 2024
Volume 18, Number 3, April, 2024
Volume 18, Number 4, May, 2024
Volume 18, Number 5, June, 2024
Volume 18, Number 6, July, 2024
Volume 18, Number 7, August, 2024
Volume 18, Number 8, September, 2024


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 1, Number 1, March, 2007

                     Jiawei Han   Introduction . . . . . . . . . . . . . . 1:1--1:??
              Jure Leskovec and   
              Jon Kleinberg and   
             Christos Faloutsos   Graph evolution: Densification and
                                  shrinking diameters  . . . . . . . . . . 2:1--2:??
     Ashwin Machanavajjhala and   
               Daniel Kifer and   
            Johannes Gehrke and   
Muthuramakrishnan Venkitasubramaniam   $L$-diversity: Privacy beyond
                                  $k$-anonymity  . . . . . . . . . . . . . 3:1--3:??
           Aristides Gionis and   
             Heikki Mannila and   
            Panayiotis Tsaparas   Clustering aggregation . . . . . . . . . 4:1--4:??
      Indrajit Bhattacharya and   
                    Lise Getoor   Collective entity resolution in
                                  relational data  . . . . . . . . . . . . 5:1--5:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 1, Number 2, August, 2007

                Wei-Yin Loh and   
             Chien-Wei Chen and   
                      Wei Zheng   Extrapolation errors in linear model
                                  trees  . . . . . . . . . . . . . . . . . 6:1--6:??
              Minghua Zhang and   
                    Ben Kao and   
            David W. Cheung and   
                   Kevin Y. Yip   Mining periodic patterns with gap
                                  requirement from sequences . . . . . . . 7:1--7:??
              Jen-Wei Huang and   
                  Bi-Ru Dai and   
                 Ming-Syan Chen   Twain: Two-end association miner with
                                  precise frequent exhibition periods  . . 8:1--8:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 1, Number 3, December, 2007

           Roberto Bayardop and   
         Kristin P. Bennett and   
                 Gautam Das and   
        Dimitrios Gunopulos and   
             Johannes Gunopulos   Introduction to special issue ACM SIGKDD
                                  2006 . . . . . . . . . . . . . . . . . . 9:1--9:??
        Christian Böhm and   
         Christos Faloutsos and   
                 Jia-Yu Pan and   
                  Claudia Plant   RIC: Parameter-free noise-robust
                                  clustering . . . . . . . . . . . . . . . 10:1--10:??
                Qiaozhu Mei and   
                   Dong Xin and   
                 Hong Cheng and   
                 Jiawei Han and   
                Chengxiang Zhai   Semantic annotation of frequent patterns 11:1--11:??
               Yehuda Koren and   
           Stephen C. North and   
                 Chris Volinsky   Measuring and extracting proximity
                                  graphs in networks . . . . . . . . . . . 12:1--12:??
            Alexander Ihler and   
               Jon Hutchins and   
                 Padhraic Smyth   Learning to detect events with
                                  Markov-modulated Poisson processes . . . 13:1--13:??
           Aristides Gionis and   
             Heikki Mannila and   
    Taneli Mielikäinen and   
            Panayiotis Tsaparas   Assessing data mining results via swap
                                  randomization  . . . . . . . . . . . . . 14:1--14:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 1, Number 4, January, 2008

                   Lei Tang and   
                   Huan Liu and   
             Jianping Zhang and   
              Nitin Agarwal and   
                John J. Salerno   Topic taxonomy adaptation for group
                                  profiling  . . . . . . . . . . . . . . . 1:1--1:??
             Graham Cormode and   
                  Flip Korn and   
           S. Muthukrishnan and   
              Divesh Srivastava   Finding hierarchical heavy hitters in
                                  streaming data . . . . . . . . . . . . . 2:1--2:??
              Manas Somaiya and   
       Christopher Jermaine and   
                   Sanjay Ranka   Learning correlations using the
                                  mixture-of-subsets model . . . . . . . . 3:1--3:??
                 M. Halkidi and   
               D. Gunopulos and   
            M. Vazirgiannis and   
                   N. Kumar and   
                  C. Domeniconi   A clustering framework based on
                                  subjective and objective validity
                                  criteria . . . . . . . . . . . . . . . . 4:1--4:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 2, Number 1, March, 2008

           Mohammed J. Zaki and   
             George Karypis and   
                 Jiong Yang and   
                       Wei Wang   Introduction to special issue on
                                  bioinformatics . . . . . . . . . . . . . 1:1--1:??
                   Ying Jin and   
               T. M. Murali and   
             Naren Ramakrishnan   Compositional mining of multirelational
                                  biological datasets  . . . . . . . . . . 2:1--2:??
               Saurav Sahay and   
          Sougata Mukherjea and   
           Eugene Agichtein and   
           Ernest V. Garcia and   
        Shamkant B. Navathe and   
                     Ashwin Ram   Discovering semantic biomedical
                                  relations utilizing the Web  . . . . . . 3:1--3:??
                 Jieping Ye and   
               Jianhui Chen and   
              Ravi Janardan and   
                   Sudhir Kumar   Developmental stage annotation of
                                  \bionameDrosophila gene expression
                                  pattern images via an entire solution
                                  path for LDA . . . . . . . . . . . . . . 4:1--4:??
                  Yijuan Lu and   
                    Qi Tian and   
             Jennifer Neary and   
                   Feng Liu and   
                    Yufeng Wang   Adaptive discriminant analysis for
                                  microarray-based classification  . . . . 5:1--5:??
           Kosuke Hashimoto and   
Kiyoko Flora Aoki-Kinoshita and   
              Nobuhisa Ueda and   
            Minoru Kanehisa and   
              Hiroshi Mamitsuka   A new efficient probabilistic model for
                                  mining labeled ordered trees applied to
                                  glycobiology . . . . . . . . . . . . . . 6:1--6:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 2, Number 2, July, 2008

                    Rong Ge and   
               Martin Ester and   
               Byron J. Gao and   
                Zengjian Hu and   
         Binay Bhattacharya and   
                 Boaz Ben-Moshe   Joint cluster analysis of attribute data
                                  and relationship data: The connected
                                  $k$-center problem, algorithms and
                                  applications . . . . . . . . . . . . . . 7:1--7:??
               Gunjan Gupta and   
                  Joydeep Ghosh   Bregman bubble clustering: a robust
                                  framework for mining dense clusters  . . 8:1--8:??
                  Henry Tan and   
               Fedja Hadzic and   
           Tharam S. Dillon and   
            Elizabeth Chang and   
                      Ling Feng   Tree model guided candidate generation
                                  for mining frequent subtrees from XML
                                  documents  . . . . . . . . . . . . . . . 9:1--9:??
               Aminul Islam and   
                   Diana Inkpen   Semantic text similarity using
                                  corpus-based word similarity and string
                                  similarity . . . . . . . . . . . . . . . 10:1--10:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 2, Number 3, October, 2008

                 Jimeng Sun and   
                Dacheng Tao and   
       Spiros Papadimitriou and   
               Philip S. Yu and   
             Christos Faloutsos   Incremental tensor analysis: Theory and
                                  applications . . . . . . . . . . . . . . 11:1--11:??
        Olvi L. Mangasarian and   
             Edward W. Wild and   
                  Glenn M. Fung   Privacy-preserving classification of
                                  vertically partitioned data via random
                                  kernels  . . . . . . . . . . . . . . . . 12:1--12:??
      Laks V. S. Lakshmanan and   
              Raymond T. Ng and   
                  Ganesh Ramesh   On disclosure risk analysis of
                                  anonymized itemsets in the presence of
                                  prior knowledge  . . . . . . . . . . . . 13:1--13:??
             Jaideep Vaidya and   
              Chris Clifton and   
         Murat Kantarcioglu and   
             A. Scott Patterson   Privacy-preserving decision trees over
                                  vertically partitioned data  . . . . . . 14:1--14:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 2, Number 4, January, 2009

              Kun-Ta Chuang and   
             Hung-Leng Chen and   
                 Ming-Syan Chen   Feature-preserved sampling over
                                  streaming data . . . . . . . . . . . . . 15:1--15:??
                Daxin Jiang and   
                       Jian Pei   Mining frequent cross-graph
                                  quasi-cliques  . . . . . . . . . . . . . 16:1--16:??
        Carlotta Domeniconi and   
                 Muna Al-Razgan   Weighted cluster ensembles: Methods and
                                  analysis . . . . . . . . . . . . . . . . 17:1--17:??
              Zhenjie Zhang and   
      Laks V. S. Lakshmanan and   
             Anthony K. H. Tung   On domination game analysis for
                                  microeconomic data mining  . . . . . . . 18:1--18:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 3, Number 1, March, 2009

         Hans-Peter Kriegel and   
           Peer Kröger and   
                   Arthur Zimek   Clustering high-dimensional data: a
                                  survey on subspace clustering,
                                  pattern-based clustering, and
                                  correlation clustering . . . . . . . . . 1:1--1:??
            Amit Dhurandhar and   
                     Alin Dobra   Semi-analytical method for analyzing
                                  models and model selection measures
                                  based on moment analysis . . . . . . . . 2:1--2:??
               Lo\"\ic Cerf and   
Jérémy Besson and   
     Céline Robardet and   
 Jean-François Boulicaut   Closed patterns meet $n$-ary relations   3:1--3:??
          Fabrizio Angiulli and   
                 Fabio Fassetti   DOLPHIN: an efficient algorithm for
                                  mining distance-based outliers in very
                                  large datasets . . . . . . . . . . . . . 4:1--4:??
             Bee-Chung Chen and   
         Raghu Ramakrishnan and   
            Jude W. Shavlik and   
                  Pradeep Tamma   Bellwether analysis: Searching for
                                  cost-effective query-defined predictors
                                  in large databases . . . . . . . . . . . 5:1--5:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 3, Number 2, April, 2009

                   Huan Liu and   
               John Salerno and   
              Michael Young and   
             Rakesh Agrawal and   
                   Philip S. Yu   Introduction to special issue on social
                                  computing, behavioral modeling, and
                                  prediction . . . . . . . . . . . . . . . 6:1--6:??
              Andrew Mehler and   
                  Steven Skiena   Expanding network communities from
                                  representative examples  . . . . . . . . 7:1--7:??
                  Yu-Ru Lin and   
                    Yun Chi and   
               Shenghuo Zhu and   
              Hari Sundaram and   
                 Belle L. Tseng   Analyzing communities and their
                                  evolutions in dynamic social networks    8:1--8:??
            Masahiro Kimura and   
               Kazumi Saito and   
                 Hiroshi Motoda   Blocking links to minimize contamination
                                  spread in a social network . . . . . . . 9:1--9:??
           Eugene Agichtein and   
                Yandong Liu and   
                     Jiang Bian   Modeling information-seeker satisfaction
                                  in community question answering  . . . . 10:1--10:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 3, Number 3, July, 2009

            Vetle I. Torvik and   
             Neil R. Smalheiser   Author name disambiguation in MEDLINE    11:1--11:??
                      Li Tu and   
                     Yixin Chen   Stream data clustering based on grid
                                  density and attraction . . . . . . . . . 12:1--12:??
                   Bin Zhou and   
                       Jian Pei   Link spam target detection using page
                                  farms  . . . . . . . . . . . . . . . . . 13:1--13:??
                     Li Wan and   
               Wee Keong Ng and   
             Xuan Hong Dang and   
               Philip S. Yu and   
                     Kuan Zhang   Density-based clustering of data streams
                                  at multiple resolutions  . . . . . . . . 14:1--14:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 3, Number 4, November, 2009

             Heikki Mannila and   
            Dimitrios Gunopulos   ACM TKDD special issue ACM SIGKDD 2007
                                  and ACM SIGKDD 2008  . . . . . . . . . . 15:1--15:??
               Sitaram Asur and   
   Srinivasan Parthasarathy and   
                     Duygu Ucar   An event-based framework for
                                  characterizing the evolutionary behavior
                                  of interaction graphs  . . . . . . . . . 16:1--16:??
                    Yun Chi and   
               Xiaodan Song and   
              Dengyong Zhou and   
                  Koji Hino and   
                 Belle L. Tseng   On evolutionary spectral clustering  . . 17:1--17:??
          Yasuhiro Fujiwara and   
            Yasushi Sakurai and   
             Masaru Kitsuregawa   Fast likelihood search for hidden Markov
                                  models . . . . . . . . . . . . . . . . . 18:1--18:??
                Xiang Zhang and   
                    Fei Zou and   
                       Wei Wang   Efficient algorithms for genome-wide
                                  association study  . . . . . . . . . . . 19:1--19:??
             Mustafa Bilgic and   
                    Lise Getoor   Reflect and correct: a misclassification
                                  prediction approach to active inference  20:1--20:??
              Jerry Kiernan and   
                 Evimaria Terzi   Constructing comprehensive summaries of
                                  large event sequences  . . . . . . . . . 21:1--21:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 4, Number 1, January, 2010

                   Yehuda Koren   Factor in the neighbors: Scalable and
                                  accurate collaborative filtering . . . . 1:1--1:??
               Zeeshan Syed and   
              Collin Stultz and   
             Manolis Kellis and   
                Piotr Indyk and   
                    John Guttag   Motif discovery in physiological
                                  datasets: a methodology for inferring
                                  predictive elements  . . . . . . . . . . 2:1--2:??
               Geoffrey I. Webb   Self-sufficient itemsets: an approach to
                                  screening potentially interesting
                                  associations between items . . . . . . . 3:1--3:??
             Marc Plantevit and   
               Anne Laurent and   
          Dominique Laurent and   
       Maguelonne Teisseire and   
                Yeow Wei Choong   Mining multidimensional and multilevel
                                  sequential patterns  . . . . . . . . . . 4:1--4:??
           Mohammed J. Zaki and   
   Christopher D. Carothers and   
          Boleslaw K. Szymanski   VOGUE: a variable order hidden Markov
                                  model with duration based on frequent
                                  sequence mining  . . . . . . . . . . . . 5:1--5:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 4, Number 2, May, 2010

                   Sunil Vadera   CSNL: a cost-sensitive non-linear
                                  decision tree algorithm  . . . . . . . . 6:1--6:??
         Vasileios Kandylas and   
           S. Phineas Upham and   
                  Lyle H. Ungar   Analyzing knowledge communities using
                                  foreground and background clusters . . . 7:1--7:??
                Shuiwang Ji and   
                   Lei Tang and   
                 Shipeng Yu and   
                     Jieping Ye   A shared-subspace learning framework for
                                  multi-label classification . . . . . . . 8:1--8:??
         Salvatore Ruggieri and   
             Dino Pedreschi and   
                  Franco Turini   Data mining for discrimination discovery 9:1--9:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 4, Number 3, October, 2010

             Lini T. Thomas and   
   Satyanarayana R. Valluri and   
           Kamalakar Karlapalem   MARGIN: Maximal frequent subgraph mining 10:1--10:??
            Meghana Deodhar and   
                  Joydeep Ghosh   SCOAL: a framework for simultaneous
                                  co-clustering and learning from complex
                                  data . . . . . . . . . . . . . . . . . . 11:1--11:??
                Jinlin Chen and   
                      Keli Xiao   BISC: a bitmap itemset support counting
                                  approach for efficient frequent itemset
                                  mining . . . . . . . . . . . . . . . . . 12:1--12:??
             Luca Becchetti and   
                Paolo Boldi and   
            Carlos Castillo and   
               Aristides Gionis   Efficient algorithms for large-scale
                                  local triangle counting  . . . . . . . . 13:1--13:??
                  Yin Zhang and   
                   Zhi-Hua Zhou   Multilabel dimensionality reduction via
                                  dependence maximization  . . . . . . . . 14:1--14:??
                   Ying Cui and   
             Xiaoli Z. Fern and   
                 Jennifer G. Dy   Learning multiple nonredundant
                                  clusterings  . . . . . . . . . . . . . . 15:1--15:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 4, Number 4, October, 2010

                       Wei Wang   TKDD Special Issue: SIGKDD 2009  . . . . 16:1--16:??
                    Ye Chen and   
              Dmitry Pavlov and   
                  John F. Canny   Behavioral Targeting: The Art of Scaling
                                  Up Simple Algorithms . . . . . . . . . . 17:1--17:??
             Noman Mohammed and   
        Benjamin C. M. Fung and   
         Patrick C. K. Hung and   
                Cheuk-Kwong Lee   Centralized and Distributed
                                  Anonymization for High-Dimensional
                                  Healthcare Data  . . . . . . . . . . . . 18:1--18:??
                   Chao Liu and   
                    Fan Guo and   
             Christos Faloutsos   Bayesian Browsing Model: Exact Inference
                                  of Document Relevance from
                                  Petabyte-Scale Data  . . . . . . . . . . 19:1--19:??
                  Mingxi Wu and   
             Chris Jermaine and   
               Sanjay Ranka and   
                Xiuyao Song and   
                      John Gums   A Model-Agnostic Framework for Fast
                                  Spatial Anomaly Detection  . . . . . . . 20:1--20:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 5, Number 1, December, 2010

                 Ning Zhong and   
  Gregory Piatetsky-Shapiro and   
                   Yiyu Yao and   
                   Philip S. Yu   ACM TKDD Special Issue on Knowledge
                                  Discovery for Web Intelligence . . . . . 1:1--1:??
                   Jie Tang and   
                  Limin Yao and   
                  Duo Zhang and   
                     Jing Zhang   A Combination Approach to Web User
                                  Profiling  . . . . . . . . . . . . . . . 2:1--2:??
          Mohamed Bouguessa and   
              Shengrui Wang and   
                Benoit Dumoulin   Discovering Knowledge-Sharing
                                  Communities in Question-Answering Forums 3:1--3:??
       Anon Plangprasopchok and   
                Kristina Lerman   Modeling Social Annotation: a Bayesian
                                  Approach . . . . . . . . . . . . . . . . 4:1--4:??
            Yasushi Sakurai and   
         Christos Faloutsos and   
           Spiros Papadimitriou   Fast Discovery of Group Lag Correlations
                                  in Streams . . . . . . . . . . . . . . . 5:1--5:??
                    Kun Liu and   
                 Evimaria Terzi   A Framework for Computing the Privacy
                                  Scores of Users in Online Social
                                  Networks . . . . . . . . . . . . . . . . 6:1--6:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 5, Number 2, February, 2011

                 Jimeng Sun and   
                    Yan Liu and   
                   Jie Tang and   
                      Chid Apte   Introduction to Special Issue on
                                  Large-Scale Data Mining  . . . . . . . . 7:1--7:??
                    U. Kang and   
 Charalampos E. Tsourakakis and   
            Ana Paula Appel and   
         Christos Faloutsos and   
                  Jure Leskovec   HADI: Mining Radii of Large Graphs . . . 8:1--8:??
           Timothy de Vries and   
                     Hui Ke and   
              Sanjay Chawla and   
                 Peter Christen   Robust Record Linkage Blocking Using
                                  Suffix Arrays and Bloom Filters  . . . . 9:1--9:??
          Daniel M. Dunlavy and   
            Tamara G. Kolda and   
                     Evrim Acar   Temporal Link Prediction Using Matrix
                                  and Tensor Factorizations  . . . . . . . 10:1--10:??
         Panagis Magdalinos and   
       Christos Doulkeridis and   
          Michalis Vazirgiannis   Enhancing Clustering Quality through
                                  Landmark-Based Dimensionality Reduction  11:1--11:??
                 Hong Cheng and   
                  Yang Zhou and   
                  Jeffrey Xu Yu   Clustering Large Attributed Graphs: a
                                  Balance between Structural and Attribute
                                  Similarities . . . . . . . . . . . . . . 12:1--12:??
       Aditya Krishna Menon and   
                  Charles Elkan   Fast Algorithms for Approximating the
                                  Singular Value Decomposition . . . . . . 13:1--13:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 5, Number 3, August, 2011

              Dingding Wang and   
               Shenghuo Zhu and   
                     Tao Li and   
                    Yun Chi and   
                    Yihong Gong   Integrating Document Clustering and
                                  Multidocument Summarization  . . . . . . 14:1--14:??
                 Marc Maier and   
           Matthew Rattigan and   
                   David Jensen   Indexing Network Structure with
                                  Shortest-Path Trees  . . . . . . . . . . 15:1--15:??
      Raymond Chi-Wing Wong and   
            Ada Wai-Chee Fu and   
                    Ke Wang and   
               Philip S. Yu and   
                       Jian Pei   Can the Utility of Anonymized Data be
                                  Used for Privacy Breaches? . . . . . . . 16:1--16:??
                  Yu-Ru Lin and   
                 Jimeng Sun and   
              Hari Sundaram and   
           Aisling Kelliher and   
                Paul Castro and   
                    Ravi Konuru   Community Discovery via Metagraph
                                  Factorization  . . . . . . . . . . . . . 17:1--17:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 5, Number 4, February, 2012

              Charles Elkan and   
                   Yehuda Koren   Guest Editorial for Special Issue KDD'10 18:1--18:??
             Tomoharu Iwata and   
             Takeshi Yamada and   
            Yasushi Sakurai and   
                   Naonori Ueda   Sequential Modeling of Topic Dynamics
                                  with Multiple Timescales . . . . . . . . 19:1--19:??
                Seungil Huh and   
            Stephen E. Fienberg   Discriminative Topic Modeling Based on
                                  Manifold Learning  . . . . . . . . . . . 20:1--20:??
     Manuel Gomez-Rodriguez and   
              Jure Leskovec and   
                 Andreas Krause   Inferring Networks of Diffusion and
                                  Influence  . . . . . . . . . . . . . . . 21:1--21:??
               Jianhui Chen and   
                     Ji Liu and   
                     Jieping Ye   Learning Incoherent Sparse and Low-Rank
                                  Patterns from Multiple Tasks . . . . . . 22:1--22:??
               Hsiang-Fu Yu and   
              Cho-Jui Hsieh and   
              Kai-Wei Chang and   
                   Chih-Jen Lin   Large Linear Classification When Data
                                  Cannot Fit in Memory . . . . . . . . . . 23:1--23:??
               Dafna Shahaf and   
                Carlos Guestrin   Connecting Two (or Less) Dots:
                                  Discovering Structure in News Articles   24:1--24:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 6, Number 1, March, 2012

                 Dino Ienco and   
           Ruggero G. Pensa and   
                       Rosa Meo   From Context to Distance: Learning
                                  Dissimilarity for Categorical Data
                                  Clustering . . . . . . . . . . . . . . . 1:1--1:??
                    Chun Li and   
               Qingyan Yang and   
              Jianyong Wang and   
                        Ming Li   Efficient Mining of Gap-Constrained
                                  Subsequences and Its Various
                                  Applications . . . . . . . . . . . . . . 2:1--2:??
               Fei Tony Liu and   
              Kai Ming Ting and   
                   Zhi-Hua Zhou   Isolation-Based Anomaly Detection  . . . 3:1--3:??
                     Yu Jin and   
              Nick Duffield and   
              Jeffrey Erman and   
            Patrick Haffner and   
             Subhabrata Sen and   
                   Zhi-Li Zhang   A Modular Machine Learning System for
                                  Flow-Level Traffic Classification in
                                  Large Networks . . . . . . . . . . . . . 4:1--4:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 6, Number 2, July, 2012

       Dimitrios Mavroeidis and   
             Panagis Magdalinos   A Sequential Sampling Framework for
                                  Spectral $k$-Means Based on Efficient
                                  Bootstrap Accuracy Estimations:
                                  Application to Distributed Clustering    5:1--5:??
                 Sanmay Das and   
            Malik Magdon-Ismail   A Model for Information Growth in
                                  Collective Wisdom Processes  . . . . . . 6:1--6:??
                Tianbing Xu and   
             Zhongfei Zhang and   
               Philip S. Yu and   
                        Bo Long   Generative Models for Evolutionary
                                  Clustering . . . . . . . . . . . . . . . 7:1--7:??
               Shaojun Wang and   
            Dale Schuurmans and   
                    Yunxin Zhao   The Latent Maximum Entropy Principle . . 8:1--8:??
      Indrajit Bhattacharya and   
           Shantanu Godbole and   
            Sachindra Joshi and   
                   Ashish Verma   Cross-Guided Clustering: Transfer of
                                  Relevant Supervision across Tasks  . . . 9:1--9:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 6, Number 3, October, 2012

              Zhenxing Wang and   
                    Laiwan Chan   Learning Bayesian networks from Markov
                                  random fields: an efficient algorithm
                                  for linear models  . . . . . . . . . . . 10:1--10:??
               Jeffrey Chan and   
               James Bailey and   
         Christopher Leckie and   
                  Michael Houle   ciForager: Incrementally discovering
                                  regions of correlated change in evolving
                                  graphs . . . . . . . . . . . . . . . . . 11:1--11:??
              Dingding Wang and   
               Shenghuo Zhu and   
                     Tao Li and   
                    Yihong Gong   Comparative document summarization via
                                  discriminative sentence selection  . . . 12:1--12:??
    Pedro O. S. Vaz de Melo and   
     Virgilio A. F. Almeida and   
     Antonio A. F. Loureiro and   
             Christos Faloutsos   Forecasting in the NBA and other team
                                  sports: Network effects in action  . . . 13:1--13:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 6, Number 4, December, 2012

              Joydeep Ghosh and   
             Padhraic Smyth and   
             Andrew Tomkins and   
                   Rich Caruana   Special issue on best of SIGKDD 2011 . . 14:1--14:??
            Shachar Kaufman and   
             Saharon Rosset and   
            Claudia Perlich and   
                  Ori Stitelman   Leakage in data mining: Formulation,
                                  detection, and avoidance . . . . . . . . 15:1--15:??
            Michael Mampaey and   
             Jilles Vreeken and   
                  Nikolaj Tatti   Summarizing data succinctly with the
                                  most informative itemsets  . . . . . . . 16:1--16:??
                  Shumo Chu and   
                    James Cheng   Triangle listing in massive networks . . 17:1--17:??
         Rita Chattopadhyay and   
                   Qian Sun and   
                    Wei Fan and   
               Ian Davidson and   
    Sethuraman Panchanathan and   
                     Jieping Ye   Multisource domain adaptation and its
                                  application to early detection of
                                  fatigue  . . . . . . . . . . . . . . . . 18:1--18:??
           Leland Wilkinson and   
              Anushka Anand and   
                 Tuan Nhon Dang   Substantial improvements in the
                                  set-covering projection classifier CHIRP
                                  (composite hypercubes on iterated random
                                  projections) . . . . . . . . . . . . . . 19:1--19:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 7, Number 1, March, 2013

          Fabrizio Angiulli and   
                 Fabio Fassetti   Nearest Neighbor-Based Classification of
                                  Uncertain Data . . . . . . . . . . . . . 1:1--1:??
              Dingding Wang and   
               Shenghuo Zhu and   
                     Tao Li and   
                    Yihong Gong   Comparative Document Summarization via
                                  Discriminative Sentence Selection  . . . 2:1--2:??
              Mohsen Bayati and   
            David F. Gleich and   
                Amin Saberi and   
                      Ying Wang   Message-Passing Algorithms for Sparse
                                  Network Alignment  . . . . . . . . . . . 3:1--3:??
                     Bin Li and   
           Steven C. H. Hoi and   
                Peilin Zhao and   
       Vivekanand Gopalkrishnan   Confidence Weighted Mean Reversion
                                  Strategy for Online Portfolio Selection  4:1--4:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 7, Number 2, July, 2013

              Tiancheng Lou and   
                   Jie Tang and   
              John Hopcroft and   
              Zhanpeng Fang and   
                   Xiaowen Ding   Learning to predict reciprocity and
                                  triadic closure in social networks . . . 5:1--5:??
                Haiqin Yang and   
             Michael R. Lyu and   
                     Irwin King   Efficient online learning for multitask
                                  feature selection  . . . . . . . . . . . 6:1--6:??
                   Yu Zhang and   
                  Dit-Yan Yeung   Multilabel relationship learning . . . . 7:1--7:??
                  Jing Peng and   
           Guna Seetharaman and   
                    Wei Fan and   
                   Aparna Varde   Exploiting Fisher and Fukunaga--Koontz
                                  transforms in Chernoff dimensionality
                                  reduction  . . . . . . . . . . . . . . . 8:1--8:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 7, Number 3, September, 2013

             Deepak Agarwal and   
               Rich Caruana and   
                   Jian Pei and   
                        Ke Wang   Introduction to the Special Issue ACM
                                  SIGKDD 2012  . . . . . . . . . . . . . . 9:1--9:??
      Thanawin Rakthanmanon and   
             Bilson Campana and   
             Abdullah Mueen and   
            Gustavo Batista and   
           Brandon Westover and   
                  Qiang Zhu and   
              Jesin Zakaria and   
                   Eamonn Keogh   Addressing Big Data Time Series: Mining
                                  Trillions of Time Series Subsequences
                                  Under Dynamic Time Warping . . . . . . . 10:1--10:??
                 Yizhou Sun and   
             Brandon Norick and   
                 Jiawei Han and   
                 Xifeng Yan and   
               Philip S. Yu and   
                        Xiao Yu   PathSelClus: Integrating Meta-Path
                                  Selection with User-Guided Object
                                  Clustering in Heterogeneous Information
                                  Networks . . . . . . . . . . . . . . . . 11:1--11:??
              Kedar Bellare and   
             Suresh Iyengar and   
        Aditya Parameswaran and   
                 Vibhor Rastogi   Active Sampling for Entity Matching with
                                  Guarantees . . . . . . . . . . . . . . . 12:1--12:??
         Rita Chattopadhyay and   
                 Zheng Wang and   
                    Wei Fan and   
               Ian Davidson and   
    Sethuraman Panchanathan and   
                     Jieping Ye   Batch Mode Active Sampling Based on
                                  Marginal Probability Distribution
                                  Matching . . . . . . . . . . . . . . . . 13:1--13:??
             Forrest Briggs and   
             Xiaoli Z. Fern and   
                Raviv Raich and   
                         Qi Lou   Instance Annotation for Multi-Instance
                                  Multi-Label Learning . . . . . . . . . . 14:1--14:??
                    Ming Ji and   
                 Binbin Lin and   
                 Xiaofei He and   
                   Deng Cai and   
                     Jiawei Han   Parallel Field Ranking . . . . . . . . . 15:1--15:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 7, Number 4, November, 2013

                Sibel Adali and   
        Malik Magdon-Ismail and   
                     Xiaohui Lu   iHypR: Prominence ranking in networks of
                                  collaborations with hyperedges 1 . . . . 16:1--16:??
                  Jin Huang and   
                Feiping Nie and   
                 Heng Huang and   
                Yi-Cheng Tu and   
                         Yu Lei   Social trust prediction using
                                  heterogeneous networks . . . . . . . . . 17:1--17:??
            Antonella Guzzo and   
               Luigi Moccia and   
           Domenico Sacc\`a and   
                  Edoardo Serra   Solving inverse frequent itemset mining
                                  with infrequency constraints via
                                  large-scale linear programs  . . . . . . 18:1--18:??
 José L. Balcázar   Formal and computational properties of
                                  the confidence boost of association
                                  rules  . . . . . . . . . . . . . . . . . 19:1--19:??
               Hock Hee Ang and   
   Vivekanand Gopalkrishnan and   
           Steven C. H. Hoi and   
                   Wee Keong Ng   Classification in P2P networks with
                                  cascade support vector machines  . . . . 20:1--20:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 8, Number 1, February, 2014

                   Wei Chen and   
                       Jie Tang   Introduction to special issue on
                                  computational aspects of social and
                                  information networks: Theory,
                                  methodologies, and applications
                                  (TKDD-CASIN) . . . . . . . . . . . . . . 1:1--1:??
                   Zhi Yang and   
             Christo Wilson and   
                  Xiao Wang and   
               Tingting Gao and   
                Ben Y. Zhao and   
                      Yafei Dai   Uncovering social network Sybils in the
                                  wild . . . . . . . . . . . . . . . . . . 2:1--2:??
                Ruoming Jin and   
              Victor E. Lee and   
                     Longjie Li   Scalable and axiomatic ranking of
                                  network role similarity  . . . . . . . . 3:1--3:??
             Julian Mcauley and   
                  Jure Leskovec   Discovering social circles in ego
                                  networks . . . . . . . . . . . . . . . . 4:1--4:??
              Bruno Abrahao and   
        Sucheta Soundarajan and   
              John Hopcroft and   
               Robert Kleinberg   A separability framework for analyzing
                                  community structure  . . . . . . . . . . 5:1--5:??
               Erheng Zhong and   
                    Wei Fan and   
                     Qiang Yang   User behavior learning and transfer in
                                  composite social networks  . . . . . . . 6:1--6:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 8, Number 2, June, 2014

           Nesreen K. Ahmed and   
           Jennifer Neville and   
                Ramana Kompella   Network Sampling: From Static to
                                  Streaming Graphs . . . . . . . . . . . . 7:1--7:??
                    Yong Ge and   
               Guofei Jiang and   
                   Min Ding and   
                      Hui Xiong   Ranking Metric Anomaly in Invariant
                                  Networks . . . . . . . . . . . . . . . . 8:1--8:??
             Gensheng Zhang and   
                 Xiao Jiang and   
                   Ping Luo and   
                   Min Wang and   
                    Chengkai Li   Discovering General Prominent Streaks in
                                  Sequence Data  . . . . . . . . . . . . . 9:1--9:??
        Claudio Schifanella and   
    K. Selçuk Candan and   
             Maria Luisa Sapino   Multiresolution Tensor Decompositions
                                  with Mode Hierarchies  . . . . . . . . . 10:1--10:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 8, Number 3, June, 2014

                  Jin Huang and   
                Feiping Nie and   
                 Heng Huang and   
                     Chris Ding   Robust Manifold Nonnegative Matrix
                                  Factorization  . . . . . . . . . . . . . 11:1--11:??
                   Yu Zhang and   
                  Dit-Yan Yeung   A Regularization Approach to Learning
                                  Task Relationships in Multitask Learning 12:1--12:??
                   Ming Lin and   
               Shifeng Weng and   
                Changshui Zhang   On the Sample Complexity of Random
                                  Fourier Features for Online Learning:
                                  How Many Random Fourier Features Do We
                                  Need?  . . . . . . . . . . . . . . . . . 13:1--13:??
                   Ron Eyal and   
              Avi Rosenfeld and   
                 Sigal Sina and   
                    Sarit Kraus   Predicting and Identifying Missing Node
                                  Information in Social Networks . . . . . 14:1--14:??
           Geoffrey I. Webb and   
                 Jilles Vreeken   Efficient Discovery of the Most
                                  Interesting Associations . . . . . . . . 15:1--15:??
               Asaf Shabtai and   
            Maya Bercovitch and   
                Lior Rokach and   
                  Yuval Elovici   Optimizing Data Misuse Detection . . . . 16:1--16:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 8, Number 4, August, 2014

José Hernández-Orallo   Probabilistic Reframing for
                                  Cost-Sensitive Regression  . . . . . . . 17:1--17:??
            Pauli Miettinen and   
                 Jilles Vreeken   MDL4BMF: Minimum Description Length for
                                  Boolean Matrix Factorization . . . . . . 18:1--18:??
               Jiliang Tang and   
                       Huan Liu   Feature Selection for Social Media Data  19:1--19:??
            Matteo Riondato and   
                      Eli Upfal   Efficient Discovery of Association Rules
                                  and Frequent Itemsets through Sampling
                                  with Tight Performance Guarantees  . . . 20:1--20:??
            Scott H. Burton and   
   Christophe G. Giraud-Carrier   Discovering Social Circles in Directed
                                  Graphs . . . . . . . . . . . . . . . . . 21:1--21:??
               Saurabh Paul and   
         Christos Boutsidis and   
        Malik Magdon-Ismail and   
                 Petros Drineas   Random Projections for Linear Support
                                  Vector Machines  . . . . . . . . . . . . 22:1--22:??
        Dóra Erd\Hos and   
             Rainer Gemulla and   
                 Evimaria Terzi   Reconstructing Graphs from Neighborhood
                                  Data . . . . . . . . . . . . . . . . . . 23:1--23:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 9, Number 1, August, 2014

               Ayan Acharya and   
        Eduardo R. Hruschka and   
              Joydeep Ghosh and   
              Sreangsu Acharyya   An Optimization Framework for Combining
                                  Ensembles of Classifiers and Clusterers
                                  with Applications to Nontransductive
                                  Semisupervised Learning and Transfer
                                  Learning . . . . . . . . . . . . . . . . 1:1--1:??
      Arnold P. Boedihardjo and   
              Chang-Tien Lu and   
                 Bingsheng Wang   A Framework for Exploiting Local
                                  Information to Enhance Density
                                  Estimation of Data Streams . . . . . . . 2:1--2:??
             Carlos Ordonez and   
     Carlos Garcia-Alvarado and   
Veerabhadaran Baladandayuthapani   Bayesian Variable Selection in Linear
                                  Regression in One Pass for Large
                                  Datasets . . . . . . . . . . . . . . . . 3:1--3:??
              Hongliang Fei and   
                       Jun Huan   Structured Sparse Boosting for Graph
                                  Classification . . . . . . . . . . . . . 4:1--4:??
                Zhiqiang Xu and   
                  Yiping Ke and   
                    Yi Wang and   
                 Hong Cheng and   
                    James Cheng   GBAGC: a General Bayesian Framework for
                                  Attributed Graph Clustering  . . . . . . 5:1--5:??
             Michele Coscia and   
            Giulio Rossetti and   
            Fosca Giannotti and   
                 Dino Pedreschi   Uncovering Hierarchical and Overlapping
                                  Communities with a Local-First Approach  6:1--6:??
              Guangtao Wang and   
                Qinbao Song and   
              Xueying Zhang and   
                  Kaiyuan Zhang   A Generic Multilabel Learning-Based
                                  Classification Algorithm Recommendation
                                  Method . . . . . . . . . . . . . . . . . 7:1--7:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 9, Number 2, September, 2014

               Pinghui Wang and   
             John C. S. Lui and   
              Bruno Ribeiro and   
                Don Towsley and   
               Junzhou Zhao and   
                  Xiaohong Guan   Efficiently Estimating Motif Statistics
                                  of Large Networks  . . . . . . . . . . . 8:1--8:??
                   Li Zheng and   
                     Tao Li and   
                     Chris Ding   A Framework for Hierarchical Ensemble
                                  Clustering . . . . . . . . . . . . . . . 9:1--9:??
               Baoxing Huai and   
                Enhong Chen and   
                Hengshu Zhu and   
                  Hui Xiong and   
                Tengfei Bao and   
                     Qi Liu and   
                     Jilei Tian   Toward Personalized Context Recognition
                                  for Mobile Users: a Semisupervised
                                  Bayesian HMM Approach  . . . . . . . . . 10:1--10:??
                 Siyuan Liu and   
                   Lei Chen and   
                   Lionel M. Ni   Anomaly Detection from Incomplete Data   11:1--11:??
            Pritam Gundecha and   
           Geoffrey Barbier and   
               Jiliang Tang and   
                       Huan Liu   User Vulnerability and Its Reduction on
                                  a Social Networking Site . . . . . . . . 12:1--12:??
                  Lian Duan and   
             W. Nick Street and   
                 Yanchi Liu and   
                 Songhua Xu and   
                       Brook Wu   Selecting the Right Correlation Measure
                                  for Binary Data  . . . . . . . . . . . . 13:1--13:??
                  Hao Huang and   
                   Hong Qin and   
                Shinjae Yoo and   
                     Dantong Yu   Physics-Based Anomaly Detection Defined
                                  on Manifold Space  . . . . . . . . . . . 14:1--14:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 9, Number 3, April, 2015

           Aristides Gionis and   
                        Hang Li   Introduction to the Special Issue ACM
                                  SIGKDD 2013  . . . . . . . . . . . . . . 15:1--15:??
                 Madhav Jha and   
               C. Seshadhri and   
                      Ali Pinar   A Space-Efficient Streaming Algorithm
                                  for Estimating Transitivity and Triangle
                                  Counts Using the Birthday Paradox  . . . 15:1--15:??
                 Lu-An Tang and   
                    Xiao Yu and   
                Quanquan Gu and   
                 Jiawei Han and   
               Guofei Jiang and   
                Alice Leung and   
                Thomas La Porta   A Framework of Mining Trajectories from
                                  Untrustworthy Data in Cyber-Physical
                                  System . . . . . . . . . . . . . . . . . 16:1--16:??
                 Zheng Wang and   
                     Jieping Ye   Querying Discriminative and
                                  Representative Samples for Batch Mode
                                  Active Learning  . . . . . . . . . . . . 17:1--17:??
            Siddharth Gopal and   
                    Yiming Yang   Hierarchical Bayesian Inference and
                                  Recursive Regularization for Large-Scale
                                  Classification . . . . . . . . . . . . . 18:1--18:??
                Hongzhi Yin and   
                    Bin Cui and   
                  Ling Chen and   
                 Zhiting Hu and   
                  Chengqi Zhang   Modeling Location-Based User Rating
                                  Profiles for Personalized Recommendation 19:1--19:??
                   Juhua Hu and   
              De-Chuan Zhan and   
                  Xintao Wu and   
                 Yuan Jiang and   
                   Zhi-Hua Zhou   Pairwised Specific Distance Learning
                                  from Physical Linkages . . . . . . . . . 20:1--20:??
        Sucheta Soundarajan and   
               John E. Hopcroft   Use of Local Group Information to
                                  Identify Communities in Networks . . . . 21:1--21:??
               Pinghui Wang and   
               Junzhou Zhao and   
             John C. S. Lui and   
                Don Towsley and   
                  Xiaohong Guan   Unbiased Characterization of Node Pairs
                                  over Large Graphs  . . . . . . . . . . . 22:1--22:??
            Michail Vlachos and   
         Johannes Schneider and   
       Vassilios G. Vassiliadis   On Data Publishing with Clustering
                                  Preservation . . . . . . . . . . . . . . 23:1--23:??
    Pedro O. S. Vaz De Melo and   
         Christos Faloutsos and   
Renato Assunção and   
              Rodrigo Alves and   
         Antonio A. F. Loureiro   Universal and Distinct Properties of
                                  Communication Dynamics: How to Generate
                                  Realistic Inter-event Times  . . . . . . 24:1--24:??
                 Jing Zhang and   
                   Jie Tang and   
                  Juanzi Li and   
                   Yang Liu and   
                  Chunxiao Xing   Who Influenced You? Predicting Retweet
                                  via Social Influence Locality  . . . . . 25:1--25:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 9, Number 4, June, 2015

                   Hong Xie and   
                 John C. S. Lui   Mathematical Modeling and Analysis of
                                  Product Rating with Partial Information  26:1--26:??
               Andrea Esuli and   
            Fabrizio Sebastiani   Optimizing Text Quantifiers for
                                  Multivariate Loss Functions  . . . . . . 27:1--27:??
              Bing-Rong Lin and   
                   Daniel Kifer   Information Measures in Statistical
                                  Privacy and Data Processing Applications 28:1--28:??
                  Hao Huang and   
                Shinjae Yoo and   
                 Dantong Yu and   
                       Hong Qin   Density-Aware Clustering Based on
                                  Aggregated Heat Kernel and Its
                                  Transformation . . . . . . . . . . . . . 29:1--29:??
                     Kui Yu and   
                   Wei Ding and   
            Dan A. Simovici and   
                   Hao Wang and   
                   Jian Pei and   
                     Xindong Wu   Classification with Streaming Features:
                                  an Emerging-Pattern Mining Approach  . . 30:1--30:??
                 Guimei Liu and   
               Haojun Zhang and   
              Mengling Feng and   
               Limsoon Wong and   
                   See-Kiong Ng   Supporting Exploratory Hypothesis
                                  Testing and Analysis . . . . . . . . . . 31:1--31:??
            Gianluigi Greco and   
            Antonella Guzzo and   
            Francesco Lupia and   
                 Luigi Pontieri   Process Discovery under Precedence
                                  Constraints  . . . . . . . . . . . . . . 32:1--32:??
             Nima Mirbakhsh and   
                Charles X. Ling   Improving Top-$N$ Recommendation for
                                  Cold-Start Users via Cross-Domain
                                  Information  . . . . . . . . . . . . . . 33:1--33:??
           Francesco Bonchi and   
           Aristides Gionis and   
            Francesco Gullo and   
 Charalampos E. Tsourakakis and   
                  Antti Ukkonen   Chromatic Correlation Clustering . . . . 34:1--34:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 10, Number 1, July, 2015

                   Hua Wang and   
                Feiping Nie and   
                     Heng Huang   Large-Scale Cross-Language Web Page
                                  Classification via Dual Knowledge
                                  Transfer Using Fast Nonnegative Matrix
                                  Trifactorization . . . . . . . . . . . . 1:1--1:??
                  Yang Zhou and   
                       Ling Liu   Social Influence Based Clustering and
                                  Optimization over Heterogeneous
                                  Information Networks . . . . . . . . . . 2:1--2:??
   Evangelos E. Papalexakis and   
         Christos Faloutsos and   
       Nicholas D. Sidiropoulos   ParCube: Sparse Parallelizable
                                  CANDECOMP--PARAFAC Tensor Decomposition  3:1--3:??
               Rezwan Ahmed and   
                 George Karypis   Algorithms for Mining the Coevolving
                                  Relational Motifs in Dynamic Networks    4:1--4:??
  Ricardo J. G. B. Campello and   
             Davoud Moulavi and   
               Arthur Zimek and   
               Jörg Sander   Hierarchical Density Estimates for Data
                                  Clustering, Visualization, and Outlier
                                  Detection  . . . . . . . . . . . . . . . 5:1--5:??
            Giacomo Berardi and   
               Andrea Esuli and   
            Fabrizio Sebastiani   Utility-Theoretic Ranking for
                                  Semiautomated Text Classification  . . . 6:1--6:??
                  Zhiwen Yu and   
                   Zhu Wang and   
                  Huilei He and   
                 Jilei Tian and   
                Xinjiang Lu and   
                        Bin Guo   Discovering Information Propagation
                                  Patterns in Microblogging Services . . . 7:1--7:??
             Xianchao Zhang and   
             Xiaotong Zhang and   
                        Han Liu   Smart Multitask Bregman Clustering and
                                  Multitask Kernel Clustering  . . . . . . 8:1--8:??
                    Wei Wei and   
             Kathleen M. Carley   Measuring Temporal Patterns in Dynamic
                                  Social Networks  . . . . . . . . . . . . 9:1--9:??
                 Siyuan Liu and   
                   Qiang Qu and   
                    Shuhui Wang   Rationality Analytics from Trajectories  10:1--10:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 10, Number 2, October, 2015

               Adele Lu Jia and   
                  Siqi Shen and   
      Ruud Van De Bovenkamp and   
            Alexandru Iosup and   
           Fernando Kuipers and   
               Dick H. J. Epema   Socializing by Gaming: Revealing Social
                                  Relationships in Multiplayer Online
                                  Games  . . . . . . . . . . . . . . . . . 11:1--11:??
                Manos Papagelis   Refining Social Graph Connectivity via
                                  Shortcut Edge Addition . . . . . . . . . 12:1--12:??
                 Liang Hong and   
                    Lei Zou and   
                 Cheng Zeng and   
               Luming Zhang and   
                  Jian Wang and   
                     Jilei Tian   Context-Aware Recommendation Using
                                  Role-Based Trust Network . . . . . . . . 13:1--13:??
                  Lei Zhang and   
                   Ping Luo and   
               Linpeng Tang and   
                Enhong Chen and   
                     Qi Liu and   
                   Min Wang and   
                      Hui Xiong   Occupancy-Based Frequent Pattern Mining  14:1--14:??
            Hung-Hsuan Chen and   
                   C. Lee Giles   ASCOS++: an Asymmetric Similarity
                                  Measure for Weighted Networks to Address
                                  the Problem of SimRank . . . . . . . . . 15:1--15:??
              Reza Zafarani and   
                   Lei Tang and   
                       Huan Liu   User Identification Across Social Media  16:1--16:??
                     Lei Li and   
                   Wei Peng and   
            Saurabh Kataria and   
                   Tong Sun and   
                         Tao Li   Recommending Users and Communities in
                                  Social Media . . . . . . . . . . . . . . 17:1--17:??
                    Rose Yu and   
                  Xinran He and   
                        Yan Liu   GLAD: Group Anomaly Detection in Social
                                  Media Analysis . . . . . . . . . . . . . 18:1--18:??
         Aniket Chakrabarti and   
              Venu Satuluri and   
          Atreya Srivathsan and   
       Srinivasan Parthasarathy   A Bayesian Perspective on Locality
                                  Sensitive Hashing with Extensions for
                                  Kernel Methods . . . . . . . . . . . . . 19:1--19:??
                  Yao Zhang and   
              B. Aditya Prakash   Data-Aware Vaccine Allocation Over Large
                                  Networks . . . . . . . . . . . . . . . . 20:1--20:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 10, Number 3, February, 2016

                   Matthew Rowe   Mining User Development Signals for
                                  Online Community Churner Detection . . . 21:1--21:??
    Arnau Prat-Pérez and   
        David Dominguez-Sal and   
            Josep-M. Brunat and   
        Josep-Lluis Larriba-Pey   Put Three and Three Together:
                                  Triangle-Driven Community Detection  . . 22:1--22:??
                   Zhen Guo and   
      Zhongfei (Mark) Zhang and   
               Eric P. Xing and   
             Christos Faloutsos   Multimodal Data Mining in a Multimedia
                                  Database Based on Structured Max Margin
                                  Learning . . . . . . . . . . . . . . . . 23:1--23:??
              Risa B. Myers and   
            John C. Frenzel and   
             Joseph R. Ruiz and   
        Christopher M. Jermaine   Do Anesthesiologists Know What They Are
                                  Doing? Mining a Surgical Time-Series
                                  Database to Correlate Expert Assessment
                                  with Outcomes  . . . . . . . . . . . . . 24:1--24:??
        Galileo Mark Namata and   
                 Ben London and   
                    Lise Getoor   Collective Graph Identification  . . . . 25:1--25:??
            Karthik Subbian and   
             Charu Aggarwal and   
             Jaideep Srivastava   Mining Influencers Using Information
                                  Flows in Social Streams  . . . . . . . . 26:1--26:??
          Fabrizio Angiulli and   
                 Fabio Fassetti   Toward Generalizing the Unification with
                                  Statistical Outliers: The Gradient
                                  Outlier Factor Measure . . . . . . . . . 27:1--27:??
               Danai Koutra and   
                  Neil Shah and   
       Joshua T. Vogelstein and   
            Brian Gallagher and   
             Christos Faloutsos   DeltaCon: Principled Massive-Graph
                                  Similarity Function with Attribution . . 28:1--28:??
             Wayne Xin Zhao and   
               Jinpeng Wang and   
                   Yulan He and   
                Ji-Rong Wen and   
            Edward Y. Chang and   
                    Xiaoming Li   Mining Product Adopter Information from
                                  Online Reviews for Improving Product
                                  Recommendation . . . . . . . . . . . . . 29:1--29:??
         João Duarte and   
           João Gama and   
                   Albert Bifet   Adaptive Model Rules From High-Speed
                                  Data Streams . . . . . . . . . . . . . . 30:1--30:??
                  Faming Lu and   
              Qingtian Zeng and   
                       Hua Duan   Synchronization-Core-Based Discovery of
                                  Processes with Decomposable Cyclic
                                  Dependencies . . . . . . . . . . . . . . 31:1--31:??
                  Yashu Liu and   
                   Jie Wang and   
                     Jieping Ye   An Efficient Algorithm For Weak
                                  Hierarchical Lasso . . . . . . . . . . . 32:1--32:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 10, Number 4, July, 2016

                   Wei Wang and   
                  Jure Leskovec   Introduction to the Special Issue of
                                  Best Papers in ACM SIGKDD 2014 . . . . . 33:1--33:??
                   Silei Xu and   
                 John C. S. Lui   Product Selection Problem: Improve
                                  Market Share by Learning Consumer
                                  Behavior . . . . . . . . . . . . . . . . 34:1--34:??
                 Meng Jiang and   
                   Peng Cui and   
                Alex Beutel and   
         Christos Faloutsos and   
                  Shiqiang Yang   Catching Synchronized Behaviors in Large
                                  Networks: a Graph Mining Approach  . . . 35:1--35:??
                   Ying Wei and   
               Yangqiu Song and   
                    Yi Zhen and   
                     Bo Liu and   
                     Qiang Yang   Heterogeneous Translated Hashing: a
                                  Scalable Solution Towards Multi-Modal
                                  Similarity Search  . . . . . . . . . . . 36:1--36:??
              Hanghang Tong and   
                   Fei Wang and   
        Munmun De Choudhury and   
                Zoran Obradovic   Guest Editorial: Special Issue on
                                  Connected Health at Big Data Era
                                  (BigChat): a TKDD Special Issue  . . . . 37:1--37:??
                Feiyu Xiong and   
                  Moshe Kam and   
             Leonid Hrebien and   
                Beilun Wang and   
                      Yanjun Qi   Kernelized Information-Theoretic Metric
                                  Learning for Cancer Diagnosis Using
                                  High-Dimensional Molecular Profiling
                                  Data . . . . . . . . . . . . . . . . . . 38:1--38:??
                   Pei Yang and   
               Hongxia Yang and   
                   Haoda Fu and   
                 Dawei Zhou and   
                 Jieping Ye and   
           Theodoros Lappas and   
                     Jingrui He   Jointly Modeling Label and Feature
                                  Heterogeneity in Medical Informatics . . 39:1--39:??
                   Yubao Wu and   
               Xiaofeng Zhu and   
                      Li Li and   
                    Wei Fan and   
                Ruoming Jin and   
                    Xiang Zhang   Mining Dual Networks: Models,
                                  Algorithms, and Applications . . . . . . 40:1--40:??
                 Licong Cui and   
               Shiqiang Tao and   
                Guo-Qiang Zhang   Biomedical Ontology Quality Assurance
                                  Using a Big Data Approach  . . . . . . . 41:1--41:??
             Shebuti Rayana and   
                   Leman Akoglu   Less is More: Building Selective Anomaly
                                  Ensembles  . . . . . . . . . . . . . . . 42:1--42:??
                   Yada Zhu and   
                     Jingrui He   Co-Clustering Structural Temporal Data
                                  with Applications to Semiconductor
                                  Manufacturing  . . . . . . . . . . . . . 43:1--43:??
              Maryam Tahani and   
        Ali M. A. Hemmatyar and   
            Hamid R. Rabiee and   
                Maryam Ramezani   Inferring Dynamic Diffusion Networks in
                                  Online Media . . . . . . . . . . . . . . 44:1--44:??
               Yun Sing Koh and   
                Sri Devi Ravana   Unsupervised Rare Pattern Mining: a
                                  Survey . . . . . . . . . . . . . . . . . 45:1--45:??
                  Wei Cheng and   
                Zhishan Guo and   
                Xiang Zhang and   
                       Wei Wang   CGC: a Flexible and Robust Approach to
                                  Integrating Co-Regularized Multi-Domain
                                  Graph for Clustering . . . . . . . . . . 46:1--46:??
               Chih-Ya Shen and   
               De-Nian Yang and   
             Wang-Chien Lee and   
                 Ming-Syan Chen   Spatial-Proximity Optimization for Rapid
                                  Task Group Deployment  . . . . . . . . . 47:1--47:??
                  Zhiwen Yu and   
                Zhitao Wang and   
                Liming Chen and   
                    Bin Guo and   
                      Wenjie Li   Featuring, Detecting, and Visualizing
                                  Human Sentiment in Chinese Micro-Blog    48:1--48:??
                  Chen Chen and   
              Hanghang Tong and   
          B. Aditya Prakash and   
           Tina Eliassi-Rad and   
         Michalis Faloutsos and   
             Christos Faloutsos   Eigen-Optimization on Large Graphs by
                                  Edge Manipulation  . . . . . . . . . . . 49:1--49:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 11, Number 1, August, 2016

                  Zhiwen Yu and   
                  Miao Tian and   
                   Zhu Wang and   
                    Bin Guo and   
                        Tao Mei   Shop-Type Recommendation Leveraging the
                                  Data from Social Media and
                                  Location-Based Services  . . . . . . . . 1:1--1:??
           Luke K. McDowell and   
                   David W. Aha   Leveraging Neighbor Attributes for
                                  Classification in Sparsely Labeled
                                  Networks . . . . . . . . . . . . . . . . 2:1--2:??
              Xiaojun Chang and   
                Feiping Nie and   
                    Yi Yang and   
              Chengqi Zhang and   
                     Heng Huang   Convex Sparse PCA for Unsupervised
                                  Feature Learning . . . . . . . . . . . . 3:1--3:??
                      Ou Wu and   
                  Qiang You and   
                    Fen Xia and   
                     Lei Ma and   
                     Weiming Hu   Listwise Learning to Rank from Crowds    4:1--4:??
               Junming Shao and   
                 Qinli Yang and   
              Hoang-Vu Dang and   
             Bertil Schmidt and   
                  Stefan Kramer   Scalable Clustering by Iterative
                                  Partitioning and Point Attractor
                                  Representation . . . . . . . . . . . . . 5:1--5:??
             Josif Grabocka and   
          Nicolas Schilling and   
            Lars Schmidt-Thieme   Latent Time-Series Motifs  . . . . . . . 6:1--6:??
             Xianchao Zhang and   
                Linlin Zong and   
               Quanzeng You and   
                      Xing Yong   Sampling for Nyström Extension-Based
                                  Spectral Clustering: Incremental
                                  Perspective and Novel Analysis . . . . . 7:1--7:??
               Maoying Qiao and   
           Richard Yi Da Xu and   
                   Wei Bian and   
                    Dacheng Tao   Fast Sampling for Time-Varying
                                  Determinantal Point Processes  . . . . . 8:1--8:??
        Pierluigi Crescenzi and   
       Gianlorenzo D'angelo and   
           Lorenzo Severini and   
                    Yllka Velaj   Greedily Improving Our Own Closeness
                                  Centrality in a Network  . . . . . . . . 9:1--9:??
                   Xiang Li and   
            Charles X. Ling and   
                   Huaimin Wang   The Convergence Behavior of Naive Bayes
                                  on Large Sparse Datasets . . . . . . . . 10:1--10:??
                  Yanjie Fu and   
                  Hui Xiong and   
                    Yong Ge and   
                   Yu Zheng and   
                  Zijun Yao and   
                   Zhi-Hua Zhou   Modeling of Geographic Dependencies for
                                  Real Estate Ranking  . . . . . . . . . . 11:1--11:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 11, Number 2, December, 2016

               Zekai J. Gao and   
                 Chris Jermaine   Distributed Algorithms for Computing
                                  Very Large Thresholded Covariance
                                  Matrices . . . . . . . . . . . . . . . . 12:1--12:??
             Chenguang Wang and   
               Yangqiu Song and   
                   Dan Roth and   
                 Ming Zhang and   
                     Jiawei Han   World Knowledge as Indirect Supervision
                                  for Document Clustering  . . . . . . . . 13:1--13:??
         Tanmoy Chakraborty and   
          Sriram Srinivasan and   
              Niloy Ganguly and   
          Animesh Mukherjee and   
              Sanjukta Bhowmick   Permanence and Community Structure in
                                  Complex Networks . . . . . . . . . . . . 14:1--14:??
             Laura M. Smith and   
                Linhong Zhu and   
            Kristina Lerman and   
                Allon G. Percus   Partitioning Networks with Node
                                  Attributes by Compressing Information
                                  Flow . . . . . . . . . . . . . . . . . . 15:1--15:??
                     Kui Yu and   
                 Xindong Wu and   
                   Wei Ding and   
                       Jian Pei   Scalable and Accurate Online Feature
                                  Selection for Big Data . . . . . . . . . 16:1--16:??
                    Bin Liu and   
                     Yao Wu and   
        Neil Zhenqiang Gong and   
                  Junjie Wu and   
                  Hui Xiong and   
                   Martin Ester   Structural Analysis of User Choices for
                                  Mobile App Recommendation  . . . . . . . 17:1--17:??
                Foto Afrati and   
               Shlomi Dolev and   
             Ephraim Korach and   
            Shantanu Sharma and   
              Jeffrey D. Ullman   Assignment Problems of Different-Sized
                                  Inputs in MapReduce  . . . . . . . . . . 18:1--18:??
             Zhongyuan Wang and   
                  Fang Wang and   
                Haixun Wang and   
                  Zhirui Hu and   
                    Jun Yan and   
                 Fangtao Li and   
                Ji-Rong Wen and   
                     Zhoujun Li   Unsupervised Head-Modifier Detection in
                                  Search Queries . . . . . . . . . . . . . 19:1--19:??
                   Yi Chang and   
              Makoto Yamada and   
             Antonio Ortega and   
                        Yan Liu   Lifecycle Modeling for Buzz Temporal
                                  Pattern Discovery  . . . . . . . . . . . 20:1--20:??
                  Qiang Wei and   
                Dandan Qiao and   
                  Jin Zhang and   
               Guoqing Chen and   
                     Xunhua Guo   A Novel Bipartite Graph Based
                                  Competitiveness Degree Analysis from
                                  Query Logs . . . . . . . . . . . . . . . 21:1--21:??
                 Yuanli Pei and   
             Xiaoli Z. Fern and   
        Teresa Vania Tjahja and   
           Rómer Rosales   Comparing Clustering with Pairwise and
                                  Relative Constraints: a Unified
                                  Framework  . . . . . . . . . . . . . . . 22:1--22:??
          Carlos Lorenzetti and   
              Ana Maguitman and   
                David Leake and   
            Filippo Menczer and   
             Thomas Reichherzer   Mining for Topics to Suggest Knowledge
                                  Model Extensions . . . . . . . . . . . . 23:1--23:??
              Dheeraj Kumar and   
            James C. Bezdek and   
     Sutharshan Rajasegarar and   
      Marimuthu Palaniswami and   
         Christopher Leckie and   
               Jeffrey Chan and   
             Jayavardhana Gubbi   Adaptive Cluster Tendency Visualization
                                  and Anomaly Detection for Streaming Data 24:1--24:??
               Wen-Yuan Zhu and   
              Wen-Chih Peng and   
              Ling-Jyh Chen and   
                  Kai Zheng and   
                  Xiaofang Zhou   Exploiting Viral Marketing for Location
                                  Promotion in Location-Based Social
                                  Networks . . . . . . . . . . . . . . . . 25:1--25:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 11, Number 3, April, 2017

  Ahmet Erdem Sariyüce and   
                 Kamer Kaya and   
                 Erik Saule and   
Ümit V. Çatalyürek   Graph Manipulations for Fast Centrality
                                  Computation  . . . . . . . . . . . . . . 26:1--26:??
         Polina Rozenshtein and   
              Nikolaj Tatti and   
               Aristides Gionis   Finding Dynamic Dense Subgraphs  . . . . 27:1--27:??
                Guannan Liu and   
                  Yanjie Fu and   
               Guoqing Chen and   
                  Hui Xiong and   
                       Can Chen   Modeling Buying Motives for Personalized
                                  Product Bundle Recommendation  . . . . . 28:1--28:??
                   Ting Guo and   
                     Jia Wu and   
               Xingquan Zhu and   
                  Chengqi Zhang   Combining Structured Node Content and
                                  Topology Information for Networked Graph
                                  Clustering . . . . . . . . . . . . . . . 29:1--29:??
                     Qi Liu and   
                 Biao Xiang and   
         Nicholas Jing Yuan and   
                Enhong Chen and   
                  Hui Xiong and   
                   Yi Zheng and   
                        Yu Yang   An Influence Propagation View of
                                  PageRank . . . . . . . . . . . . . . . . 30:1--30:??
                   Sen Wang and   
                     Xue Li and   
              Xiaojun Chang and   
                   Lina Yao and   
              Quan Z. Sheng and   
                   Guodong Long   Learning Multiple Diagnosis Codes for
                                  ICU Patients with Local Disease
                                  Correlation Mining . . . . . . . . . . . 31:1--31:??
              Seung-Hee Bae and   
            Daniel Halperin and   
              Jevin D. West and   
             Martin Rosvall and   
                      Bill Howe   Scalable and Efficient Flow-Based
                                  Community Detection for Large-Scale
                                  Graph Analysis . . . . . . . . . . . . . 32:1--32:??
                 Chong Peng and   
                  Zhao Kang and   
                 Yunhong Hu and   
                  Jie Cheng and   
                    Qiang Cheng   Robust Graph Regularized Nonnegative
                                  Matrix Factorization for Clustering  . . 33:1--33:??
                   Xun Tang and   
          Maha Alabduljalil and   
                    Xin Jin and   
                       Tao Yang   Partitioned Similarity Search with
                                  Cache-Conscious Data Traversal . . . . . 34:1--34:??
              Shanshan Feng and   
                   Jian Cao and   
                   Jie Wang and   
                    Shiyou Qian   Recommendations Based on Comprehensively
                                  Exploiting the Latent Factors Hidden in
                                  Items' Ratings and Content . . . . . . . 35:1--35:??
                 Xutong Liu and   
                  Feng Chen and   
               Yen-Cheng Lu and   
                  Chang-Tien Lu   Spatial Prediction for Multivariate
                                  Non-Gaussian Data  . . . . . . . . . . . 36:1--36:??
                 Liang Wang and   
                  Zhiwen Yu and   
                    Bin Guo and   
                     Tao Ku and   
                         Fei Yi   Moving Destination Prediction Using
                                  Sparse Dataset: a Mobility Gradient
                                  Descent Approach . . . . . . . . . . . . 37:1--37:??
         Kimon Fountoulakis and   
              Abhisek Kundu and   
  Eugenia-Maria Kontopoulou and   
                 Petros Drineas   A Randomized Rounding Algorithm for
                                  Sparse PCA . . . . . . . . . . . . . . . 38:1--38:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 11, Number 4, August, 2017

              Charu C. Aggarwal   Introduction to Special Issue on the
                                  Best Papers from KDD 2016  . . . . . . . 39:1--39:??
                  Wei Cheng and   
                Jingchao Ni and   
                  Kai Zhang and   
               Haifeng Chen and   
               Guofei Jiang and   
                     Yu Shi and   
                Xiang Zhang and   
                       Wei Wang   Ranking Causal Anomalies for System
                                  Fault Diagnosis via Temporal and
                                  Dynamical Analysis on Vanishing
                                  Correlations . . . . . . . . . . . . . . 40:1--40:??
             Tianyang Zhang and   
                   Peng Cui and   
         Christos Faloutsos and   
                  Yunfei Lu and   
                     Hao Ye and   
                  Wenwu Zhu and   
                  Shiqiang Yang   comeNgo: a Dynamic Model for Social
                                  Group Evolution  . . . . . . . . . . . . 41:1--41:??
                  Chen Chen and   
              Hanghang Tong and   
                    Lei Xie and   
                   Lei Ying and   
                        Qing He   Cross-Dependency Inference in
                                  Multi-Layered Networks: a Collaborative
                                  Filtering Perspective  . . . . . . . . . 42:1--42:??
         Lorenzo De Stefani and   
          Alessandro Epasto and   
            Matteo Riondato and   
                      Eli Upfal   TRI\`EST: Counting Local and Global
                                  Triangles in Fully Dynamic Streams with
                                  Fixed Memory Size  . . . . . . . . . . . 43:1--43:??
                 Bryan Hooi and   
                Kijung Shin and   
               Hyun Ah Song and   
                Alex Beutel and   
                  Neil Shah and   
             Christos Faloutsos   Graph-Based Fraud Detection in the Face
                                  of Camouflage  . . . . . . . . . . . . . 44:1--44:??
            Ashton Anderson and   
              Jon Kleinberg and   
           Sendhil Mullainathan   Assessing Human Error Against a
                                  Benchmark of Perfection  . . . . . . . . 45:1--45:??
                 Yihan Wang and   
                Shaoxu Song and   
                   Lei Chen and   
              Jeffrey Xu Yu and   
                     Hong Cheng   Discovering Conditional Matching Rules   46:1--46:??
   Christos Anagnostopoulos and   
            Peter Triantafillou   Query-Driven Learning for Predictive
                                  Analytics of Data Subspace Cardinality   47:1--47:??
                     Yue Wu and   
           Steven C. H. Hoi and   
                    Tao Mei and   
                     Nenghai Yu   Large-Scale Online Feature Selection for
                                  Ultra-High Dimensional Sparse Data . . . 48:1--48:??
         Alceu Ferraz Costa and   
             Yuto Yamaguchi and   
   Agma Juci Machado Traina and   
         Caetano Traina Jr. and   
             Christos Faloutsos   Modeling Temporal Activity to Detect
                                  Anomalous Behavior in Social Media . . . 49:1--49:??
           Soroush Vosoughi and   
   Mostafa `Neo' Mohsenvand and   
                        Deb Roy   Rumor Gauge: Predicting the Veracity of
                                  Rumors on Twitter  . . . . . . . . . . . 50:1--50:??
           Oualid Boutemine and   
              Mohamed Bouguessa   Mining Community Structures in
                                  Multidimensional Networks  . . . . . . . 51:1--51:??
             Essam Algizawy and   
              Tetsuji Ogawa and   
                 Ahmed El-Mahdy   Real-Time Large-Scale Map Matching Using
                                  Mobile Phone Data  . . . . . . . . . . . 52:1--52:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 12, Number 1, February, 2018

       Matthijs van Leeuwen and   
                  Polo Chau and   
             Jilles Vreeken and   
               Dafna Shahaf and   
             Christos Faloutsos   Editorial: TKDD Special Issue on
                                  Interactive Data Exploration and
                                  Analytics  . . . . . . . . . . . . . . . 1:1--1:??
Frédéric Rayar and   
              Sabine Barrat and   
               Fatma Bouali and   
               Gilles Venturini   A Viewable Indexing Structure for the
                                  Interactive Exploration of Dynamic and
                                  Large Image Collections  . . . . . . . . 2:1--2:??
              Raheleh Makki and   
              Eder Carvalho and   
               Axel J. Soto and   
             Stephen Brooks and   
Maria Cristina Ferreira De Oliveira and   
           Evangelos Milios and   
                 Rosane Minghim   ATR-Vis: Visual and Interactive
                                  Information Retrieval for Parliamentary
                                  Discussions in Twitter . . . . . . . . . 3:1--3:??
                Yongsub Lim and   
                Minsoo Jung and   
                        U. Kang   Memory-Efficient and Accurate Sampling
                                  for Counting Local Triangles in Graph
                                  Streams: From Simple to Multigraphs  . . 4:1--4:??
                    Lei Shi and   
              Hanghang Tong and   
           Madelaine Daianu and   
                  Feng Tian and   
               Paul M. Thompson   Visual Analysis of Brain Networks Using
                                  Sparse Regression Models . . . . . . . . 5:1--5:??
             Esther Galbrun and   
                Pauli Miettinen   Mining Redescriptions with Siren . . . . 6:1--6:??
                     Hao Wu and   
                Maoyuan Sun and   
                    Peng Mi and   
              Nikolaj Tatti and   
                Chris North and   
             Naren Ramakrishnan   Interactive Discovery of Coordinated
                                  Relationship Chains with Maximum Entropy
                                  Models . . . . . . . . . . . . . . . . . 7:1--7:??
                Jaegul Choo and   
                 Hannah Kim and   
            Edward Clarkson and   
               Zhicheng Liu and   
              Changhyun Lee and   
                   Fuxin Li and   
               Hanseung Lee and   
        Ramakrishnan Kannan and   
         Charles D. Stolper and   
                John Stasko and   
                    Haesun Park   VisIRR: a Visual Analytics System for
                                  Information Retrieval and Recommendation
                                  for Large-Scale Document Data  . . . . . 8:1--8:??
             Niranjan Kamat and   
                    Arnab Nandi   A Session-Based Approach to
                                  Fast-But-Approximate Interactive Data
                                  Cube Exploration . . . . . . . . . . . . 9:1--9:??
                Pavel Senin and   
                Jessica Lin and   
                  Xing Wang and   
                  Tim Oates and   
               Sunil Gandhi and   
      Arnold P. Boedihardjo and   
               Crystal Chen and   
             Susan Frankenstein   GrammarViz 3.0: Interactive Discovery of
                                  Variable-Length Time Series Patterns . . 10:1--10:??
               Srayan Datta and   
                     Eytan Adar   CommunityDiff: Visualizing Community
                                  Clustering Algorithms  . . . . . . . . . 11:1--11:??
                  Yang Yang and   
                   Jie Tang and   
                      Juanzi Li   Learning to Infer Competitive
                                  Relationships in Heterogeneous Networks  12:1--12:??
                 Boyue Wang and   
                  Yongli Hu and   
                 Junbin Gao and   
                Yanfeng Sun and   
                     Baocai Yin   Partial Sum Minimization of Singular
                                  Values Representation on Grassmann
                                  Manifolds  . . . . . . . . . . . . . . . 13:1--13:??
Edgar S. García Treviño and   
       Muhammad Zaid Hameed and   
               Javier A. Barria   Data Stream Evolution Diagnosis Using
                                  Recursive Wavelet Density Estimators . . 14:1--14:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 12, Number 2, March, 2018

             Vishal Kaushal and   
              Manasi Patwardhan   Emerging Trends in Personality
                                  Identification Using Online Social
                                  Networks --- a Literature Survey . . . . 15:1--15:??
              Divya Pandove and   
                Shivan Goel and   
                     Rinkl Rani   Systematic Review of Clustering
                                  High-Dimensional and Large Datasets  . . 16:1--16:??
                  Yixuan Li and   
                     Kun He and   
               Kyle Kloster and   
               David Bindel and   
                  John Hopcroft   Local Spectral Clustering for
                                  Overlapping Community Detection  . . . . 17:1--17:??
               Gianni Costa and   
                Riccardo Ortale   Mining Overlapping Communities and Inner
                                  Role Assignments through Bayesian
                                  Mixed-Membership Models of Networks with
                                  Context-Dependent Interactions . . . . . 18:1--18:??
                 Cheng Long and   
      Raymond Chi-Wing Wong and   
              Victor Junqiu Wei   Profit Maximization with Sufficient
                                  Customer Satisfactions . . . . . . . . . 19:1--19:??
            Maryam Ramezani and   
              Ali Khodadadi and   
                Hamid R. Rabiee   Community Detection Using Diffusion
                                  Information  . . . . . . . . . . . . . . 20:1--20:??
  Carla-Fabiana Chiasserini and   
             Michel Garetto and   
                 Emili Leonardi   De-anonymizing Clustered Social Networks
                                  by Percolation Graph Matching  . . . . . 21:1--21:??
             Wayne Xin Zhao and   
                 Feifan Fan and   
                Ji-Rong Wen and   
                Edward Y. Chang   Joint Representation Learning for
                                  Location-Based Social Networks with
                                  Multi-Grained Sequential Contexts  . . . 22:1--22:??
              Guang-Neng Hu and   
                 Xin-Yu Dai and   
                Feng-Yu Qiu and   
                    Rui Xia and   
                     Tao Li and   
             Shu-Jian Huang and   
                   Jia-Jun Chen   Collaborative Filtering with Topic and
                                  Social Latent Factors Incorporating
                                  Implicit Feedback  . . . . . . . . . . . 23:1--23:??
              Bryan Perozzi and   
                   Leman Akoglu   Discovering Communities and Anomalies in
                                  Attributed Graphs: Interactive Visual
                                  Exploration and Summarization  . . . . . 24:1--24:??
             Hamed R. Bonab and   
                      Fazli Can   GOOWE: Geometrically Optimum and
                                  Online-Weighted Ensemble Classifier for
                                  Evolving Data Streams  . . . . . . . . . 25:1--25:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 12, Number 3, April, 2018

                   Hong Xie and   
           Richard T. B. Ma and   
                 John C. S. Lui   Enhancing Reputation via Price Discounts
                                  in E-Commerce Systems: a Data-Driven
                                  Approach . . . . . . . . . . . . . . . . 26:1--26:??
            Loris Belcastro and   
           Fabrizio Marozzo and   
             Domenico Talia and   
                  Paolo Trunfio   G-RoI: Automatic Region-of-Interest
                                  Detection Driven by Geotagged Social
                                  Media Data . . . . . . . . . . . . . . . 27:1--27:??
                Kijung Shin and   
                 Bryan Hooi and   
             Christos Faloutsos   Fast, Accurate, and Flexible Algorithms
                                  for Dense Subtensor Mining . . . . . . . 28:1--28:??
            Jiongqian Liang and   
              Deepak Ajwani and   
       Patrick K. Nicholson and   
            Alessandra Sala and   
       Srinivasan Parthasarathy   Prioritized Relationship Analysis in
                                  Heterogeneous Information Networks . . . 29:1--29:??
                 Hong Huang and   
                Yuxiao Dong and   
                   Jie Tang and   
               Hongxia Yang and   
           Nitesh V. Chawla and   
                    Xiaoming Fu   Will Triadic Closure Strengthen Ties in
                                  Social Networks? . . . . . . . . . . . . 30:1--30:??
             Guangyong Chen and   
               Fengyuan Zhu and   
                 Pheng Ann Heng   Large-Scale Bayesian Probabilistic
                                  Matrix Factorization with Memo-Free
                                  Distributed Variational Inference  . . . 31:1--31:??
                   Sheng Li and   
                  Ming Shao and   
                         Yun Fu   Multi-View Low-Rank Analysis with
                                  Applications to Outlier Detection  . . . 32:1--32:??
             Yasser Altowim and   
      Dmitri V. Kalashnikov and   
                Sharad Mehrotra   ProgressER: Adaptive Progressive
                                  Approach to Relational Entity Resolution 33:1--33:??
            Jordan Bakerman and   
             Karl Pazdernik and   
              Alyson Wilson and   
         Geoffrey Fairchild and   
                    Rian Bahran   Twitter Geolocation: a Hybrid Approach   34:1--34:??
           Sebastian Moreno and   
           Jennifer Neville and   
                Sergey Kirshner   Tied Kronecker Product Graph Models to
                                  Capture Variance in Network Populations  35:1--35:??
                   Pei Yang and   
                     Qi Tan and   
                     Jingrui He   Function-on-Function Regression with
                                  Mode-Sparsity Regularization . . . . . . 36:1--36:??
              Ali Khodadadi and   
       Seyed Abbas Hosseini and   
             Erfan Tavakoli and   
                Hamid R. Rabiee   Continuous-Time User Modeling in
                                  Presence of Badges: a Probabilistic
                                  Approach . . . . . . . . . . . . . . . . 37:1--37:??
                   Min Peng and   
                 Jiahui Zhu and   
                   Hua Wang and   
                   Xuhui Li and   
              Yanchun Zhang and   
              Xiuzhen Zhang and   
                      Gang Tian   Mining Event-Oriented Topics in
                                  Microblog Stream with Unsupervised
                                  Multi-View Hierarchical Embedding  . . . 38:1--38:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 12, Number 4, July, 2018

                Edward Toth and   
                  Sanjay Chawla   GT$ \Delta $: Detecting Temporal Changes
                                  in Group Stochastic Processes  . . . . . 39:1--39:??
                    Wei Xie and   
                  Feida Zhu and   
                  Jing Xiao and   
                  Jianzong Wang   Social Network Monitoring for Bursty
                                  Cascade Detection  . . . . . . . . . . . 40:1--40:??
               Xiaowei Chen and   
                 John C. S. Lui   Mining Graphlet Counts in Online Social
                                  Networks . . . . . . . . . . . . . . . . 41:1--41:??
                 Hongfu Liu and   
                         Yun Fu   Consensus Guided Multi-View Clustering   42:1--42:??
                Hung-Hsuan Chen   Behavior2Vec: Generating Distributed
                                  Representations of Users' Behaviors on
                                  Products for Recommender Systems . . . . 43:1--43:??
              Sriparna Saha and   
             Sayantan Mitra and   
                  Stefan Kramer   Exploring Multiobjective Optimization
                                  for Multiview Clustering . . . . . . . . 44:1--44:??
                     Hao Wu and   
                   Yue Ning and   
      Prithwish Chakraborty and   
             Jilles Vreeken and   
              Nikolaj Tatti and   
             Naren Ramakrishnan   Generating Realistic Synthetic
                                  Population Datasets  . . . . . . . . . . 45:1--45:??
            Timothy La Fond and   
           Jennifer Neville and   
                Brian Gallagher   Designing Size Consistent Statistics for
                                  Accurate Anomaly Detection in Dynamic
                                  Networks . . . . . . . . . . . . . . . . 46:1--46:??
              Nashreen Nesa and   
                Tania Ghosh and   
              Indrajit Banerjee   iGRM: Improved Grey Relational Model and
                                  Its Ensembles for Occupancy Sensing in
                                  Internet of Things Applications  . . . . 47:1--47:??
              Marco Bressan and   
        Flavio Chierichetti and   
                 Ravi Kumar and   
             Stefano Leucci and   
           Alessandro Panconesi   Motif Counting Beyond Five Nodes . . . . 48:1--48:??
           Minh-Tien Nguyen and   
                Duc-Vu Tran and   
             Le-Minh Nguyen and   
                 Xuan-Hieu Phan   Exploiting User Posts for Web Document
                                  Summarization  . . . . . . . . . . . . . 49:1--49:??
                      Bo Li and   
           Yevgeniy Vorobeychik   Evasion-Robust Classification on Binary
                                  Domains  . . . . . . . . . . . . . . . . 50:1--50:??
            Majid Mohammadi and   
        Amir Ahooye Atashin and   
                Wout Hofman and   
                     Yaohua Tan   Comparison of Ontology Alignment Systems
                                  Across Single Matching Task Via the
                                  McNemar's Test . . . . . . . . . . . . . 51:1--51:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 12, Number 5, July, 2018

                Jason Lines and   
               Sarah Taylor and   
                Anthony Bagnall   Time Series Classification with
                                  HIVE-COTE: The Hierarchical Vote
                                  Collective of Transformation-Based
                                  Ensembles  . . . . . . . . . . . . . . . 52:1--52:??
Chainarong Amornbunchornvej and   
               Ivan Brugere and   
  Ariana Strandburg-Peshkin and   
           Damien R. Farine and   
        Margaret C. Crofoot and   
           Tanya Y. Berger-Wolf   Coordination Event Detection and
                                  Initiator Identification in Time Series
                                  Data . . . . . . . . . . . . . . . . . . 53:1--53:??
                  Peipei Li and   
                Haixun Wang and   
                Hongsong Li and   
                     Xindong Wu   Employing Semantic Context for Sparse
                                  Information Extraction Assessment  . . . 54:1--54:??
         Danushka Bollegala and   
           Vincent Atanasov and   
           Takanori Maehara and   
         Ken-Ichi Kawarabayashi   ClassiNet --- Predicting Missing
                                  Features for Short-Text Classification   55:1--55:??
                   Tian Qin and   
            Wufan Shangguan and   
                Guojie Song and   
                       Jie Tang   Spatio-Temporal Routine Mining on Mobile
                                  Phone Data . . . . . . . . . . . . . . . 56:1--56:??
                 Ziqi Zhang and   
                    Jie Gao and   
                Fabio Ciravegna   SemRe-Rank: Improving Automatic Term
                                  Extraction by Incorporating Semantic
                                  Relatedness with Personalised PageRank   57:1--57:??
                  Shuji Hao and   
                 Peiying Hu and   
                Peilin Zhao and   
           Steven C. H. Hoi and   
                   Chunyan Miao   Online Active Learning with Expert
                                  Advice . . . . . . . . . . . . . . . . . 58:1--58:??
   Fabrício A. Silva and   
 Augusto C. S. A. Domingues and   
        Thais R. M. Braga Silva   Discovering Mobile Application Usage
                                  Patterns from a Large-Scale Dataset  . . 59:1--59:??
                Feijiang Li and   
                 Yuhua Qian and   
               Jieting Wang and   
             Chuangyin Dang and   
                       Bing Liu   Cluster's Quality Evaluation and
                                  Selective Clustering Ensemble  . . . . . 60:1--60:??
            Matteo Riondato and   
                      Eli Upfal   ABRA: Approximating Betweenness
                                  Centrality in Static and Dynamic Graphs
                                  with Rademacher Averages . . . . . . . . 61:1--61:??
         Ludovic Dos Santos and   
        Benjamin Piwowarski and   
            Ludovic Denoyer and   
              Patrick Gallinari   Representation Learning for
                                  Classification in Heterogeneous Graphs
                                  with Application to Social Networks  . . 62:1--62:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 12, Number 6, October, 2018

                   Can Wang and   
               Chi-Hung Chi and   
                  Zhong She and   
               Longbing Cao and   
                   Bela Stantic   Coupled Clustering Ensemble by Exploring
                                  Data Interdependence . . . . . . . . . . 63:1--63:??
              Zhipeng Huang and   
              Bogdan Cautis and   
              Reynold Cheng and   
               Yudian Zheng and   
             Nikos Mamoulis and   
                       Jing Yan   Entity-Based Query Recommendation for
                                  Long-Tail Queries  . . . . . . . . . . . 64:1--64:??
                 Xiaoli Liu and   
                   Peng Cao and   
André R. Gonçalves and   
                 Dazhe Zhao and   
               Arindam Banerjee   Modeling Alzheimer's Disease Progression
                                  with Fused Laplacian Sparse Group Lasso  65:1--65:??
                  Xinran He and   
                    David Kempe   Stability and Robustness in Influence
                                  Maximization . . . . . . . . . . . . . . 66:1--66:??
       Cristina Romero-Tris and   
            David Megías   Protecting Privacy in Trajectories with
                                  a User-Centric Approach  . . . . . . . . 67:1--67:??
        Josh Jia-Ching Ying and   
                   Ji Zhang and   
              Che-Wei Huang and   
               Kuan-Ta Chen and   
               Vincent S. Tseng   FrauDetector+: an Incremental
                                  Graph-Mining Approach for Efficient
                                  Fraudulent Phone Call Detection  . . . . 68:1--68:??
                Mingyang Di and   
              Diego Klabjan and   
                   Long Sha and   
                  Patrick Lucey   Large-Scale Adversarial Sports Play
                                  Retrieval with Learning to Rank  . . . . 69:1--69:??
                 Xiao Huang and   
                 Jundong Li and   
                     Na Zou and   
                         Xia Hu   A General Embedding Framework for
                                  Heterogeneous Information Learning in
                                  Large-Scale Networks . . . . . . . . . . 70:1--70:??
              Ha-Myung Park and   
        Francesco Silvestri and   
                Rasmus Pagh and   
             Chin-Wan Chung and   
           Sung-Hyon Myaeng and   
                        U. Kang   Enumerating Trillion Subgraphs On
                                  Distributed Systems  . . . . . . . . . . 71:1--71:??
                  Xidao Wen and   
                  Yu-Ru Lin and   
       Konstantinos Pelechrinis   Event Analytics via Discriminant Tensor
                                  Factorization  . . . . . . . . . . . . . 72:1--72:??
              Chaochao Chen and   
     Kevin Chen-Chuan Chang and   
                  Qibing Li and   
                  Xiaolin Zheng   Semi-supervised Learning Meets
                                  Factorization: Learning to Recommend
                                  with Chain Graph Model . . . . . . . . . 73:1--73:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 13, Number 1, January, 2019

          Md Amran Siddiqui and   
                  Alan Fern and   
       Thomas G. Dietterich and   
                 Weng-Keen Wong   Sequential Feature Explanations for
                                  Anomaly Detection  . . . . . . . . . . . 1:1--1:??
               Xiaoming Liu and   
                  Chao Shen and   
              Xiaohong Guan and   
                    Yadong Zhou   Digger: Detect Similar Groups in
                                  Heterogeneous Social Networks  . . . . . 2:1--2:??
         Paul Lagrée and   
       Olivier Cappé and   
              Bogdan Cautis and   
                   Silviu Maniu   Algorithms for Online Influencer
                                  Marketing  . . . . . . . . . . . . . . . 3:1--3:??
               Zhiqiang Tao and   
                 Hongfu Liu and   
                   Sheng Li and   
             Zhengming Ding and   
                         Yun Fu   Robust Spectral Ensemble Clustering via
                                  Rank Minimization  . . . . . . . . . . . 4:1--4:??
      Bijay Prasad Jaysawal and   
                  Jen-Wei Huang   PSP-AMS: Progressive Mining of
                                  Sequential Patterns Across Multiple
                                  Streams  . . . . . . . . . . . . . . . . 5:1--5:??
              Qingquan Song and   
                Hancheng Ge and   
             James Caverlee and   
                         Xia Hu   Tensor Completion Algorithms in Big Data
                                  Analytics  . . . . . . . . . . . . . . . 6:1--6:??
                Dror Moghaz and   
      Yaakov Hacohen-Kerner and   
                     Dov Gabbay   Text Mining for Evaluating Authors'
                                  Birth and Death Years  . . . . . . . . . 7:1--7:??
            Hung-Hsuan Chen and   
                        Pu Chen   Differentiating Regularization Weights
                                  --- A Simple Mechanism to Alleviate Cold
                                  Start in Recommender Systems . . . . . . 8:1--8:??
                Doyen Sahoo and   
           Steven C. H. Hoi and   
                         Bin Li   Large Scale Online Multiple Kernel
                                  Regression with Application to
                                  Time-Series Prediction . . . . . . . . . 9:1--9:??
               Tomas Barton and   
                Tomas Bruna and   
                   Pavel Kordik   Chameleon 2: an Improved Graph-Based
                                  Clustering Algorithm . . . . . . . . . . 10:1--10:??
             Fabricio Murai and   
              Bruno Ribeiro and   
                Don Towlsey and   
                   Pinghui Wang   Characterizing Directed and Undirected
                                  Networks via Multidimensional Walks with
                                  Jumps  . . . . . . . . . . . . . . . . . 11:1--11:??
                  Huan Wang and   
                     Jia Wu and   
                  Wenbin Hu and   
                     Xindong Wu   Detecting and Assessing Anomalous
                                  Evolutionary Behaviors of Nodes in
                                  Evolving Social Networks . . . . . . . . 12:1--12:??
       Matthijs van Leeuwen and   
                  Polo Chau and   
             Jilles Vreeken and   
               Dafna Shahaf and   
             Christos Faloutsos   Addendum to the Special Issue on
                                  Interactive Data Exploration and
                                  Analytics (TKDD, Vol. 12, Iss. 1):
                                  Introduction by the Guest Editors  . . . 13:1--13:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 13, Number 2, June, 2019

                 Anas Katib and   
                Praveen Rao and   
              Kobus Barnard and   
                Charles Kamhoua   Fast Approximate Score Computation on
                                  Large-Scale Distributed Data for
                                  Learning Multinomial Bayesian Networks   14:1--14:??
               Xiaofeng Gao and   
                Zhenhao Cao and   
                     Sha Li and   
                    Bin Yao and   
                Guihai Chen and   
                   Shaojie Tang   Taxonomy and Evaluation for Microblog
                                  Popularity Prediction  . . . . . . . . . 15:1--15:??
                Ruidong Yan and   
                      Yi Li and   
                   Weili Wu and   
                  Deying Li and   
                   Yongcai Wang   Rumor Blocking through Online Link
                                  Deletion on Social Networks  . . . . . . 16:1--16:??
             Irene Teinemaa and   
               Marlon Dumas and   
           Marcello La Rosa and   
           Fabrizio Maria Maggi   Outcome-Oriented Predictive Process
                                  Monitoring: Review and Benchmark . . . . 17:1--17:??
                   Liang Ma and   
          Mudhakar Srivatsa and   
             Derya Cansever and   
                 Xifeng Yan and   
                   Sue Kase and   
                 Michelle Vanni   Performance Bounds of Decentralized
                                  Search in Expert Networks for Query
                                  Answering  . . . . . . . . . . . . . . . 18:1--18:??
                Kishlay Jha and   
                Guangxu Xun and   
   Vishrawas Gopalakrishnan and   
                   Aidong Zhang   DWE-Med: Dynamic Word Embeddings for
                                  Medical Domain . . . . . . . . . . . . . 19:1--19:??
                Jose Cadena and   
                  Feng Chen and   
                Anil Vullikanti   Near-Optimal and Practical Algorithms
                                  for Graph Scan Statistics with
                                  Connectivity Constraints . . . . . . . . 20:1--20:??
             Bingbing Jiang and   
                   Chang Li and   
           Maarten De Rijke and   
                    Xin Yao and   
                  Huanhuan Chen   Probabilistic Feature Selection and
                                  Classification Vector Machine  . . . . . 21:1--21:??
                 Zheng Wang and   
                 Xiaojun Ye and   
               Chaokun Wang and   
                   Philip S. Yu   Feature Selection via Transferring
                                  Knowledge Across Different Classes . . . 22:1--22:??
               Junyuan Hong and   
                    Yang Li and   
                  Huanhuan Chen   Variant Grassmann Manifolds: a
                                  Representation Augmentation Method for
                                  Action Recognition . . . . . . . . . . . 23:1--23:??
                 Yumeng Guo and   
                Fulai Chung and   
                Guozheng Li and   
              Jiancong Wang and   
                   James C. Gee   Leveraging Label-Specific Discriminant
                                  Mapping Features for Multi-Label
                                  Learning . . . . . . . . . . . . . . . . 24:1--24:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 13, Number 3, July, 2019

               Wensheng Gan and   
         Jerry Chun-Wei Lin and   
    Philippe Fournier-Viger and   
             Han-Chieh Chao and   
                   Philip S. Yu   A Survey of Parallel Sequential Pattern
                                  Mining . . . . . . . . . . . . . . . . . 25:1--25:??
              Amin Mahmoudi and   
        Mohd Ridzwan Yaakub and   
            Azuraliza Abu Bakar   The Relationship between Online Social
                                  Network Ties and User Attributes . . . . 26:1--26:??
                   Yao Zhou and   
                   Lei Ying and   
                     Jingrui He   Multi-task Crowdsourcing via an
                                  Optimization Framework . . . . . . . . . 27:1--27:??
               Xuchao Zhang and   
                   Shuo Lei and   
                 Liang Zhao and   
      Arnold P. Boedihardjo and   
                  Chang-Tien Lu   Robust Regression via Heuristic
                                  Corruption Thresholding and Its Adaptive
                                  Estimation Variation . . . . . . . . . . 28:1--28:??
                Zhitao Wang and   
              Chengyao Chen and   
                      Wenjie Li   Information Diffusion Prediction with
                                  Network Regularized Role-based User
                                  Representation Learning  . . . . . . . . 29:1--29:??
                  Fujiao Ju and   
                Yanfeng Sun and   
                 Junbin Gao and   
         Michael Antolovich and   
              Junliang Dong and   
                     Baocai Yin   Tensorizing Restricted Boltzmann Machine 30:1--30:??
               Chenyang Liu and   
                   Jian Cao and   
                  Shanshan Feng   Leveraging Kernel-Incorporated Matrix
                                  Factorization for App Recommendation . . 31:1--31:??
              Mahdi Dehghan and   
                 Ahmad Ali Abin   Translations Diversification for Expert
                                  Finding: a Novel Clustering-based
                                  Approach . . . . . . . . . . . . . . . . 32:1--32:??
               Mohsin Iqbal and   
                 Asim Karim and   
                 Faisal Kamiran   Balancing Prediction Errors for Robust
                                  Sentiment Classification . . . . . . . . 33:1--33:??
              Mingyue Zhang and   
                   Xuan Wei and   
                 Xunhua Guo and   
               Guoqing Chen and   
                      Qiang Wei   Identifying Complements and Substitutes
                                  of Products: a Neural Network Framework
                                  Based on Product Embedding . . . . . . . 34:1--34:??
              Yourong Huang and   
                   Zhu Xiao and   
                 Xiaoyou Yu and   
                  Dong Wang and   
        Vincent Havyarimana and   
                       Jing Bai   Road Network Construction with Complex
                                  Intersections Based on Sparsely Sampled
                                  Private Car Trajectory Data  . . . . . . 35:1--35:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 13, Number 4, August, 2019

                  Fadi Dornaika   Active Two Phase Collaborative
                                  Representation Classifier  . . . . . . . 36:1--36:??
               Wenmain Yang and   
                   Kun Wang and   
                    Na Ruan and   
                Wenyuan Gao and   
                 Weijia Jia and   
                   Wei Zhao and   
                    Nan Liu and   
                  Yunyong Zhang   Time-Sync Video Tag Extraction Using
                                  Semantic Association Graph . . . . . . . 37:1--37:??
             Victor Amelkin and   
             Petko Bogdanov and   
                 Ambuj K. Singh   A Distance Measure for the Analysis of
                                  Polar Opinion Dynamics in Social
                                  Networks . . . . . . . . . . . . . . . . 38:1--38:??
                Haoran Chen and   
                 Jinghua Li and   
                 Junbin Gao and   
                Yanfeng Sun and   
                  Yongli Hu and   
                     Baocai Yin   Maximally Correlated Principal Component
                                  Analysis Based on Deep Parameterization
                                  Learning . . . . . . . . . . . . . . . . 39:1--39:??
Laura Fernández Gallardo and   
           Ramon Sanchez-Iborra   On the Impact of Voice Encoding and
                                  Transmission on the Predictions of
                                  Speaker Warmth and Attractiveness  . . . 40:1--40:??
             Carmela Comito and   
        Agostino Forestiero and   
                  Clara Pizzuti   Bursty Event Detection in Twitter
                                  Streams  . . . . . . . . . . . . . . . . 41:1--41:??
               Jipeng Qiang and   
                  Ping Chen and   
                   Wei Ding and   
                  Tong Wang and   
                    Fei Xie and   
                     Xindong Wu   Heterogeneous-Length Text Topic Modeling
                                  for Reader-Aware Multi-Document
                                  Summarization  . . . . . . . . . . . . . 42:1--42:??
                Qingyang Li and   
                  Zhiwen Yu and   
                    Bin Guo and   
                   Huang Xu and   
                    Xinjiang Lu   Housing Demand Estimation Based on
                                  Express Delivery Data  . . . . . . . . . 43:1--43:??
           Sina Sajadmanesh and   
            Sogol Bazargani and   
               Jiawei Zhang and   
                Hamid R. Rabiee   Continuous-Time Relationship Prediction
                                  in Dynamic Heterogeneous Information
                                  Networks . . . . . . . . . . . . . . . . 44:1--44:??
               Irad Ben-Gal and   
           Shahar Weinstock and   
               Gonen Singer and   
                Nicholas Bambos   Clustering Users by Their Mobility
                                  Behavioral Patterns  . . . . . . . . . . 45:1--45:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 13, Number 5, October, 2019

                   Yanan Xu and   
                 Yanmin Zhu and   
                Yanyan Shen and   
                       Jiadi Yu   Fine-Grained Air Quality Inference with
                                  Remote Sensing Data and Ubiquitous Urban
                                  Data . . . . . . . . . . . . . . . . . . 46:1--46:??
                 Xiren Zhou and   
              Huanhuan Chen and   
                     Jinlong Li   Probabilistic Mixture Model for Mapping
                                  the Underground Pipes  . . . . . . . . . 47:1--47:??
                  Fei Jiang and   
               Guosheng Yin and   
             Francesca Dominici   Bayesian Model Selection Approach to
                                  Multiple Change-Points Detection with
                                  Non-Local Prior Distributions  . . . . . 48:1--48:??
                   Yun Wang and   
                Guojie Song and   
                     Lun Du and   
                     Zhicong Lu   Real-Time Estimation of the Urban Air
                                  Quality with Mobile Sensor System  . . . 49:1--49:??
                     Yu Xue and   
                   Bing Xue and   
                  Mengjie Zhang   Self-Adaptive Particle Swarm
                                  Optimization for Large-Scale Feature
                                  Selection in Classification  . . . . . . 50:1--50:??
           Valter Crescenzi and   
             Paolo Merialdo and   
                    Disheng Qiu   Hybrid Crowd-Machine Wrapper Inference   51:1--51:??
                     Kun He and   
                    Pan Shi and   
               David Bindel and   
               John E. Hopcroft   Krylov Subspace Approximation for Local
                                  Community Detection in Large Networks    52:1--52:??
       Elisabetta Bergamini and   
            Michele Borassi and   
        Pierluigi Crescenzi and   
              Andrea Marino and   
             Henning Meyerhenke   Computing top-$k$ Closeness Centrality
                                  Faster in Unweighted Graphs  . . . . . . 53:1--53:??
                  Nikolaj Tatti   Density-Friendly Graph Decomposition . . 54:1--54:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 13, Number 6, December, 2019

                Peisong Zhu and   
                Zhuang Chen and   
               Haojie Zheng and   
                    Tieyun Qian   Aspect Aware Learning for Aspect
                                  Category Sentiment Analysis  . . . . . . 55:1--55:??
              Yuandong Wang and   
                Xuelian Lin and   
                    Hua Wei and   
                  Tianyu Wo and   
                 Zhou Huang and   
                 Yong Zhang and   
                         Jie Xu   A Unified Framework with Multi-source
                                  Data for Predicting Passenger Demands of
                                  Ride Services  . . . . . . . . . . . . . 56:1--56:??
               Shenghua Liu and   
                Huawei Shen and   
              Houdong Zheng and   
                Xueqi Cheng and   
                  Xiangwen Liao   CT LIS: Learning Influences and
                                  Susceptibilities through Temporal
                                  Behaviors  . . . . . . . . . . . . . . . 57:1--57:??
          Jimmy Ming-Tai Wu and   
         Jerry Chun-Wei Lin and   
                Ashish Tamrakar   High-Utility Itemset Mining with
                                  Effective Pruning Strategies . . . . . . 58:1--58:??
             Sascha Henzgen and   
          Eyke Hüllermeier   Mining Rank Data . . . . . . . . . . . . 59:1--59:??
           Martha Roseberry and   
           Bartosz Krawczyk and   
                   Alberto Cano   Multi-Label Punitive kNN with
                                  Self-Adjusting Memory for Drifting Data
                                  Streams  . . . . . . . . . . . . . . . . 60:1--60:??
                     Yu Lei and   
                      Wenjie Li   Interactive Recommendation with
                                  User-Specific Deep Reinforcement
                                  Learning . . . . . . . . . . . . . . . . 61:1--61:??
              John Boaz Lee and   
              Ryan A. Rossi and   
               Sungchul Kim and   
           Nesreen K. Ahmed and   
                     Eunyee Koh   Attention Models in Graphs: a Survey . . 62:1--62:??
              Wangdong Yang and   
                   Kenli Li and   
                       Keqin Li   A Pipeline Computing Method of SpTV for
                                  Three-Order Tensors on CPU and GPU . . . 63:1--63:??
                    Yu Zhou and   
              Jianbin Huang and   
                   Heli Sun and   
                 Yizhou Sun and   
               Shaojie Qiao and   
                Stephen Wambura   Recurrent Meta-Structure for Robust
                                  Similarity Measure in Heterogeneous
                                  Information Networks . . . . . . . . . . 64:1--64:??
   Bráulio M. Veloso and   
Renato M. Assunção and   
       Anderson A. Ferreira and   
                  Nivio Ziviani   In Search of a Stochastic Model for the
                                  E-News Reader  . . . . . . . . . . . . . 65:1--65:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 14, Number 1, February, 2020

            Md Kamrul Hasan and   
                Christopher Pal   A New Smooth Approximation to the Zero
                                  One Loss with a Probabilistic
                                  Interpretation . . . . . . . . . . . . . 1:1--1:28
             Sayantan Mitra and   
      Mohammed Hasanuzzaman and   
                  Sriparna Saha   A Unified Multi-view Clustering
                                  Algorithm Using Multi-objective
                                  Optimization Coupled with Generative
                                  Model  . . . . . . . . . . . . . . . . . 2:1--2:31
                      Li Ni and   
                Wenjian Luo and   
                 Wenjie Zhu and   
                        Bei Hua   Local Overlapping Community Detection    3:1--3:25
              Fabrizio Angiulli   CFOF: a Concentration Free Measure for
                                  Anomaly Detection  . . . . . . . . . . . 4:1--4:53
         Shaikh Arifuzzaman and   
                 Maleq Khan and   
                 Madhav Marathe   Fast Parallel Algorithms for Counting
                                  and Listing Triangles in Big Graphs  . . 5:1--5:34
                  Kun Kuang and   
                   Peng Cui and   
                      Bo Li and   
                 Meng Jiang and   
                Yashen Wang and   
                     Fei Wu and   
                  Shiqiang Yang   Treatment Effect Estimation via
                                  Differentiated Confounder Balancing and
                                  Regression . . . . . . . . . . . . . . . 6:1--6:25
             Zohaib Md. Jan and   
                  Brijesh Verma   Evolutionary Classifier and Cluster
                                  Selection Approach for Ensemble
                                  Classification . . . . . . . . . . . . . 7:1--7:18
Paulo Orlando Queiroz-Sousa and   
           Ana Carolina Salgado   A Review on OLAP Technologies Applied to
                                  Information Networks . . . . . . . . . . 8:1--8:25
                Feiping Nie and   
                 Zheng Wang and   
                  Rong Wang and   
                  Zhen Wang and   
                     Xuelong Li   Adaptive Local Linear Discriminant
                                  Analysis . . . . . . . . . . . . . . . . 9:1--9:19
                Xinjiang Lu and   
                  Zhiwen Yu and   
               Chuanren Liu and   
                 Yanchi Liu and   
                  Hui Xiong and   
                        Bin Guo   Inferring Lifetime Status of
                                  Point-of-Interest: a Multitask
                                  Multiclass Approach  . . . . . . . . . . 10:1--10:27
         Edoardo Galimberti and   
           Francesco Bonchi and   
            Francesco Gullo and   
               Tommaso Lanciano   Core Decomposition in Multilayer
                                  Networks: Theory, Algorithms, and
                                  Applications . . . . . . . . . . . . . . 11:1--11:40

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 14, Number 2, March, 2020

                Kijung Shin and   
                  Sejoon Oh and   
                   Jisu Kim and   
                 Bryan Hooi and   
             Christos Faloutsos   Fast, Accurate and Provable Triangle
                                  Counting in Fully Dynamic Graph Streams  12:1--12:39
                 Huimei Han and   
               Xingquan Zhu and   
                        Ying Li   Generalizing Long Short-Term Memory
                                  Network for Deep Learning from Generic
                                  Data . . . . . . . . . . . . . . . . . . 13:1--13:28
               Chi-Chun Lin and   
              Kun-Ta Chuang and   
          Wush Chi-Hsuan Wu and   
                 Ming-Syan Chen   Budget-Constrained Real-Time Bidding
                                  Optimization: Multiple Predictors Make
                                  It Better  . . . . . . . . . . . . . . . 14:1--14:27
              Xiaoqiang Yan and   
             Zhengzheng Lou and   
                  Shizhe Hu and   
                    Yangdong Ye   Multi-task Information Bottleneck
                                  Co-clustering for Unsupervised
                                  Cross-view Human Action Categorization   15:1--15:23
                     Bo Lin and   
                    Wei Luo and   
                Zhiling Luo and   
                    Bo Wang and   
             Shuiguang Deng and   
                Jianwei Yin and   
                   Mengchu Zhou   Bradykinesia Recognition in Parkinson's
                                  Disease via Single RGB Video . . . . . . 16:1--16:19
                  Shuai Liu and   
                Guojie Song and   
                   Wenhao Huang   Real-time Transportation Prediction
                                  Correction using Reconstruction Error in
                                  Deep Learning  . . . . . . . . . . . . . 17:1--17:20
              Chenglong Dai and   
                 Dechang Pi and   
         Stefanie I. Becker and   
                     Jia Wu and   
                    Lin Cui and   
                  Blake Johnson   CenEEGs: Valid EEG Selection for
                                  Classification . . . . . . . . . . . . . 18:1--18:25
                Jialin Dong and   
                   Kai Yang and   
                   Yuanming Shi   Ranking from Crowdsourced Pairwise
                                  Comparisons via Smoothed Riemannian
                                  Optimization . . . . . . . . . . . . . . 19:1--19:26
                   Yanan Xu and   
                Yanyan Shen and   
                 Yanmin Zhu and   
                       Jiadi Yu   AR 2 Net: an Attentive Neural Approach
                                  for Business Location Selection with
                                  Satellite Data and Urban Data  . . . . . 20:1--20:28
           Francesco Concas and   
                 Pengfei Xu and   
          Mohammad A. Hoque and   
                 Jiaheng Lu and   
                   Sasu Tarkoma   Multiple Set Matching with Bloom Matrix
                                  and Bloom Vector . . . . . . . . . . . . 21:1--21:21
                Pei-Zhen Li and   
                 Ling Huang and   
            Chang-Dong Wang and   
             Jian-Huang Lai and   
                     Dong Huang   Community Detection by Motif-Aware Label
                                  Propagation  . . . . . . . . . . . . . . 22:1--22:19
                   Yuan Guo and   
                     Yu Sun and   
                     Kai Wu and   
                   Kerong Jiang   New Algorithms of Feature Selection and
                                  Big Data Assignment for CBR System
                                  Integrated by Bayesian Network . . . . . 23:1--23:20
                   Ting Hua and   
              Chang-Tien Lu and   
                Jaegul Choo and   
               Chandan K. Reddy   Probabilistic Topic Modeling for
                                  Comparative Analysis of Document
                                  Collections  . . . . . . . . . . . . . . 24:1--24:27

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 14, Number 3, May, 2020

              Kwang Hee Lee and   
                  Myoung Ho Kim   Linearization of Dependency and Sampling
                                  for Participation-based Betweenness
                                  Centrality in Very Large $B$-hypergraphs 25:1--25:41
                 Jiang Bian and   
                Haoyi Xiong and   
                  Yanjie Fu and   
                   Jun Huan and   
                    Zhishan Guo   MP$^2$SDA: Multi-Party Parallelized
                                  Sparse Discriminant Learning . . . . . . 26:1--26:22
                   Lei Tang and   
                 Zihang Liu and   
                Yaling Zhao and   
               Zongtao Duan and   
                    Jingchi Jia   Efficient Ridesharing Framework for
                                  Ride-matching via Heterogeneous Network
                                  Embedding  . . . . . . . . . . . . . . . 27:1--27:24
                Beyza Ermis and   
               A. Taylan CemgIl   Data Sharing via Differentially Private
                                  Coupled Matrix Factorization . . . . . . 28:1--28:27
                    Yu Yang and   
                Xiangbo Mao and   
                   Jian Pei and   
                     Xiaofei He   Continuous Influence Maximization  . . . 29:1--29:38
            Alireza Ostovar and   
       Sander J. J. Leemans and   
               Marcello La Rosa   Robust Drift Characterization from Event
                                  Streams of Business Processes  . . . . . 30:1--30:57
                   Bang Liu and   
                Fred X. Han and   
                     Di Niu and   
              Linglong Kong and   
                Kunfeng Lai and   
                          Yu Xu   Story Forest: Extracting Events and
                                  Telling Stories from Breaking News . . . 31:1--31:28
             Md Shad Akhtar and   
     Dushyant Singh Chauhan and   
                     Asif Ekbal   A Deep Multi-task Contextual Attention
                                  Framework for Multi-modal Affect
                                  Analysis . . . . . . . . . . . . . . . . 32:1--32:27
           M. M. Abd-Elaziz and   
          Hazem M. El-Bakry and   
        Ahmed Abou Elfetouh and   
                  Amira Elzeiny   Enhanced Data Mining Technique to
                                  Measure Satisfaction Degree of Social
                                  Media Users of Xeljanz Drug  . . . . . . 33:1--33:13
             Alasalmi Tuomo and   
             Jaakko Suutala and   
           Juha Röning and   
            Heli Koskimäki   Better Classifier Calibration for Small
                                  Datasets . . . . . . . . . . . . . . . . 34:1--34:19
Chainarong Amornbunchornvej and   
              Tanya Berger-Wolf   Framework for Inferring Following
                                  Strategies from Time Series of Movement
                                  Data . . . . . . . . . . . . . . . . . . 35:1--35:22
                   Heli Sun and   
                    Fang He and   
              Jianbin Huang and   
                 Yizhou Sun and   
                    Yang Li and   
                Chenyu Wang and   
                   Liang He and   
               Zhongbin Sun and   
                    Xiaolin Jia   Network Embedding for Community
                                  Detection in Attributed Networks . . . . 36:1--36:25
               Theodoros Lappas   Mining Career Paths from Large Resume
                                  Databases: Evidence from IT
                                  Professionals  . . . . . . . . . . . . . 37:1--37:38

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 14, Number 4, July, 2020

                   Si Zhang and   
              Hanghang Tong and   
                   Jie Tang and   
                  Jiejun Xu and   
                        Wei Fan   Incomplete Network Alignment: Problem
                                  Definitions and Fast Solutions . . . . . 38:1--38:26
                 Bintao Sun and   
          T.-H. Hubert Chan and   
                    Mauro Sozio   Fully Dynamic Approximate $k$-Core
                                  Decomposition in Hypergraphs . . . . . . 39:1--39:21
Thirunavukarasu Balasubramaniam and   
                Richi Nayak and   
                      Chau Yuen   Efficient Nonnegative Tensor
                                  Factorization via Saturating Coordinate
                                  Descent  . . . . . . . . . . . . . . . . 40:1--40:28
              Xiangjie Kong and   
                  Jun Zhang and   
                   Da Zhang and   
                      Yi Bu and   
                  Ying Ding and   
                       Feng Xia   The Gene of Scientific Success . . . . . 41:1--41:19
                   Cen Chen and   
                   Kenli Li and   
                 Sin G. Teo and   
               Xiaofeng Zou and   
                   Keqin Li and   
                      Zeng Zeng   Citywide Traffic Flow Prediction Based
                                  on Multiple Gated Spatio-temporal
                                  Convolutional Neural Networks  . . . . . 42:1--42:23
                 Tianyu Zhu and   
                Guannan Liu and   
                   Guoqing Chen   Social Collaborative Mutual Learning for
                                  Item Recommendation  . . . . . . . . . . 43:1--43:19
        Anthony C. Constantinou   Learning Bayesian Networks with the
                                  Saiyan Algorithm . . . . . . . . . . . . 44:1--44:21
             Changping Wang and   
               Chaokun Wang and   
                 Zheng Wang and   
                 Xiaojun Ye and   
                   Philip S. Yu   Edge2vec: Edge-based Social Network
                                  Embedding  . . . . . . . . . . . . . . . 45:1--45:24
               Xiaofeng Zhu and   
              Shichao Zhang and   
               Jilian Zhang and   
                Yonggang Li and   
               Guangquan Lu and   
                      Yang Yang   Sparse Graph Connectivity for Image
                                  Segmentation . . . . . . . . . . . . . . 46:1--46:19
        Henrique O. Marques and   
  Ricardo J. G. B. Campello and   
           Jürg Sander and   
                   Arthur Zimek   Internal Evaluation of Unsupervised
                                  Outlier Detection  . . . . . . . . . . . 47:1--47:42
               Xiaofeng Zhu and   
              Shichao Zhang and   
                Yonghua Zhu and   
                  Wei Zheng and   
                      Yang Yang   Self-weighted Multi-view Fuzzy
                                  Clustering . . . . . . . . . . . . . . . 48:1--48:17
              Shubhomoy Das and   
             Weng-Keen Wong and   
          Thomas Dietterich and   
                  Alan Fern and   
                  Andrew Emmott   Discovering Anomalies by Incorporating
                                  Feedback from an Expert  . . . . . . . . 49:1--49:32
                  Yuanbo Xu and   
              Yongjian Yang and   
                    En Wang and   
                  Jiayu Han and   
              Fuzhen Zhuang and   
                  Zhiwen Yu and   
                      Hui Xiong   Neural Serendipity Recommendation:
                                  Exploring the Balance between Accuracy
                                  and Novelty with Sparse Explicit
                                  Feedback . . . . . . . . . . . . . . . . 50:1--50:25

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 14, Number 5, August, 2020

                  Hui Xiong and   
                   Chih-Jen Lin   Introduction to the Special Issue on the
                                  Best Papers from KDD 2018  . . . . . . . 51e:1--51e:2
                 Ping Zhang and   
                Zhifeng Bao and   
                  Yuchen Li and   
                Guoliang Li and   
               Yipeng Zhang and   
                   Zhiyong Peng   Towards an Optimal Outdoor Advertising
                                  Placement: When a Budget Constraint
                                  Meets Moving Trajectories  . . . . . . . 51:1--51:32
                  Keli Xiao and   
                  Zeyang Ye and   
                Lihao Zhang and   
                Wenjun Zhou and   
                    Yong Ge and   
                    Yuefan Deng   Multi-User Mobile Sequential
                                  Recommendation for Route Optimization    52:1--52:28
                Mengdi Huai and   
              Chenglin Miao and   
                 Yaliang Li and   
                Qiuling Suo and   
                      Lu Su and   
                   Aidong Zhang   Learning Distance Metrics from
                                  Probabilistic Information  . . . . . . . 53:1--53:33
               Hongyuan Zhu and   
                     Qi Liu and   
         Nicholas Jing Yuan and   
                  Kun Zhang and   
                 Guang Zhou and   
                    Enhong Chen   Pop Music Generation: From Melody to
                                  Multi-style Arrangement  . . . . . . . . 54:1--54:31
              Dominik Mautz and   
                     Wei Ye and   
              Claudia Plant and   
            Christian Böhm   Non-Redundant Subspace Clusterings with
                                  Nr-Kmeans and Nr-DipMeans  . . . . . . . 55:1--55:24
            Matteo Riondato and   
                   Fabio Vandin   MiSoSouP: Mining Interesting Subgroups
                                  with Sampling and Pseudodimension  . . . 56:1--56:31
         Daniel Zügner and   
            Oliver Borchert and   
            Amir Akbarnejad and   
         Stephan Günnemann   Adversarial Attacks on Graph Neural
                                  Networks: Perturbations and their
                                  Patterns . . . . . . . . . . . . . . . . 57:1--57:31
                    Xu Zhou and   
                   Kenli Li and   
               Zhibang Yang and   
                 Yunjun Gao and   
                       Keqin Li   Efficient Approaches to $k$
                                  Representative G-Skyline Queries . . . . 58:1--58:27
                Peilin Zhao and   
                Dayong Wang and   
               Pengcheng Wu and   
               Steven C. H. Hoi   A Unified Framework for Sparse Online
                                  Learning . . . . . . . . . . . . . . . . 59:1--59:20
          Matteo Ceccarello and   
       Andrea Pietracaprina and   
                  Geppino Pucci   A General Coreset-Based Approach to
                                  Diversity Maximization under Matroid
                                  Constraints  . . . . . . . . . . . . . . 60:1--60:27
                Hung Nguyen and   
               Xuejian Wang and   
                   Leman Akoglu   End-to-End Continual Rare-Class
                                  Recognition with Emerging Novel
                                  Subclasses . . . . . . . . . . . . . . . 61:1--61:28
              Tingting Wang and   
                   Lei Duan and   
                Guozhu Dong and   
                    Zhifeng Bao   Efficient Mining of Outlying Sequence
                                  Patterns for Analyzing Outlierness of
                                  Sequence Data  . . . . . . . . . . . . . 62:1--62:26
              Ryan A. Rossi and   
                     Di Jin and   
               Sungchul Kim and   
           Nesreen K. Ahmed and   
               Danai Koutra and   
                  John Boaz Lee   On Proximity and Structural Role-based
                                  Embeddings in Networks: Misconceptions,
                                  Techniques, and Applications . . . . . . 63:1--63:37

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 14, Number 6, October, 2020

Athanasios N. Nikolakopoulos and   
                 George Karypis   Boosting Item-based Collaborative
                                  Filtering via Nearly Uncoupled Random
                                  Walks  . . . . . . . . . . . . . . . . . 64:1--64:26
                 Jiarong Xu and   
                  Yifan Luo and   
               Jianrong Tao and   
               Changjie Fan and   
                  Zhou Zhao and   
                    Jiangang Lu   NGUARD+: an Attention-based Game Bot
                                  Detection Framework via Player Behavior
                                  Sequences  . . . . . . . . . . . . . . . 65:1--65:24
              Jianxiong Guo and   
                       Weili Wu   Influence Maximization: Seeding Based on
                                  Community Structure  . . . . . . . . . . 66:1--66:22
                  Renjun Hu and   
                 Yanchi Liu and   
                  Yanyan Li and   
                Jingbo Zhou and   
                   Shuai Ma and   
                      Hui Xiong   Exploiting User Preference and Mobile
                                  Peer Influence for Human Mobility
                                  Annotation . . . . . . . . . . . . . . . 67:1--67:18
              Guansong Pang and   
                   Longbing Cao   Heterogeneous Univariate Outlier
                                  Ensembles in Multidimensional Data . . . 68:1--68:27
               Nuha Zamzami and   
                 Nizar Bouguila   Probabilistic Modeling for Frequency
                                  Vectors Using a Flexible Shifted-Scaled
                                  Dirichlet Distribution Prior . . . . . . 69:1--69:35
              Ramesh Paudel and   
                 William Eberle   An Approach For Concept Drift Detection
                                  in a Graph Stream Using Discriminative
                                  Subgraphs  . . . . . . . . . . . . . . . 70:1--70:25
   Wathsala Anupama Mohotti and   
                    Richi Nayak   Efficient Outlier Detection in Text
                                  Corpus Using Rare Frequency and Ranking  71:1--71:30
                 Chen Zhang and   
           Steven C. H. Hoi and   
                    Fugee Tsung   Time-Warped Sparse Non-negative
                                  Factorization for Functional Data
                                  Analysis . . . . . . . . . . . . . . . . 72:1--72:23
            Michael Matheny and   
                   Dong Xie and   
               Jeff M. Phillips   Scalable Spatial Scan Statistics for
                                  Trajectories . . . . . . . . . . . . . . 73:1--73:24
               Shuangyin Li and   
                   Yu Zhang and   
                       Rong Pan   Bi-Directional Recurrent Attentional
                                  Topic Model  . . . . . . . . . . . . . . 74:1--74:30
                 Jipeng Guo and   
                Yanfeng Sun and   
                 Junbin Gao and   
                  Yongli Hu and   
                     Baocai Yin   Robust Adaptive Linear Discriminant
                                  Analysis with Bidirectional
                                  Reconstruction Constraint  . . . . . . . 75:1--75:20
                Fotis Savva and   
   Christos Anagnostopoulos and   
        Peter Triantafillou and   
             Kostas Kolomvatsos   Large-scale Data Exploration Using
                                  Explanatory Regression Functions . . . . 76:1--76:33
                    Qian Ma and   
                      Yu Gu and   
             Wang-Chien Lee and   
                      Ge Yu and   
                 Hongbo Liu and   
                     Xindong Wu   REMIAN: Real-Time and Error-Tolerant
                                  Missing Value Imputation . . . . . . . . 77:1--77:38


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 15, Number 1, January, 2021

                   Hao Wang and   
                 Shuai Ding and   
                  Yeqing Li and   
                Xiaojian Li and   
                   Youtao Zhang   Hierarchical Physician Recommendation
                                  via Diversity-enhanced Matrix
                                  Factorization  . . . . . . . . . . . . . 1:1--1:17
         Edoardo Galimberti and   
          Martino Ciaperoni and   
               Alain Barrat and   
           Francesco Bonchi and   
               Ciro Cattuto and   
                Francesco Gullo   Span-core Decomposition for Temporal
                                  Networks: Algorithms and Applications    2:1--2:44
                   Yu Huang and   
        Josh Jia-Ching Ying and   
               Philip S. Yu and   
               Vincent S. Tseng   Dynamic Graph Mining for Multi-weight
                                  Multi-destination Route Planning with
                                  Deadlines Constraints  . . . . . . . . . 3:1--3:32
           Michael J. Siers and   
               Md Zahidul Islam   Class Imbalance and Cost-Sensitive
                                  Decision Trees: a Unified Survey Based
                                  on a Core Similarity . . . . . . . . . . 4:1--4:31
                 Hong Huang and   
                    Yu Song and   
                 Fanghua Ye and   
                   Xing Xie and   
                Xuanhua Shi and   
                        Hai Jin   Multi-Stage Network Embedding for
                                  Exploring Heterogeneous Edges  . . . . . 5:1--5:27
                     Yue Hu and   
                 Daniel B. Work   Robust Tensor Recovery with Fiber
                                  Outliers for Traffic Events  . . . . . . 6:1--6:27
                Xiaoyan Zhu and   
                 Yingbin Li and   
                Jiayin Wang and   
                 Tian Zheng and   
                     Jingwen Fu   Automatic Recommendation of a Distance
                                  Measure for Clustering Algorithms  . . . 7:1--7:22
          Giulia Bernardini and   
               Huiping Chen and   
              Alessio Conte and   
             Roberto Grossi and   
         Grigorios Loukides and   
              Nadia Pisanti and   
            Solon P. Pissis and   
            Giovanna Rosone and   
              Michelle Sweering   Combinatorial Algorithms for String
                                  Sanitization . . . . . . . . . . . . . . 8:1--8:34
              Ryan A. Rossi and   
           Nesreen K. Ahmed and   
              Aldo Carranza and   
               David Arbour and   
                   Anup Rao and   
               Sungchul Kim and   
                     Eunyee Koh   Heterogeneous Graphlets  . . . . . . . . 9:1--9:43
                  Yugang Ji and   
               Mingyang Yin and   
               Hongxia Yang and   
               Jingren Zhou and   
           Vincent W. Zheng and   
                  Chuan Shi and   
                      Yuan Fang   Accelerating Large-Scale Heterogeneous
                                  Interaction Graph Embedding Learning via
                                  Importance Sampling  . . . . . . . . . . 10:1--10:23
                Guangxu Xun and   
                Kishlay Jha and   
                   Aidong Zhang   MeSHProbeNet-P: Improving Large-scale
                                  MeSH Indexing with Personalizable MeSH
                                  Probes . . . . . . . . . . . . . . . . . 11:1--11:14
                Jinzheng Tu and   
                 Guoxian Yu and   
                   Jun Wang and   
        Carlotta Domeniconi and   
                  Maozu Guo and   
               Xiangliang Zhang   CrowdWT: Crowdsourcing via Joint
                                  Modeling of Workers and Tasks  . . . . . 12:1--12:24
         Ricardo De Azevedo and   
    Gabriel Resende Machado and   
Ronaldo Ribeiro Goldschmidt and   
                 Ricardo Choren   A Reduced Network Traffic Method for IoT
                                  Data Clustering  . . . . . . . . . . . . 13:1--13:23

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 15, Number 2, April, 2021

               Andrea Rossi and   
           Denilson Barbosa and   
          Donatella Firmani and   
           Antonio Matinata and   
                 Paolo Merialdo   Knowledge Graph Embedding for Link
                                  Prediction: a Comparative Analysis . . . 14:1--14:49
Chainarong Amornbunchornvej and   
         Navaporn Surasvadi and   
       Anon Plangprasopchok and   
        Suttipong Thajchayapong   Identifying Linear Models in
                                  Multi-Resolution Population Data Using
                                  Minimum Description Length Principle to
                                  Predict Household Income . . . . . . . . 15:1--15:30
                    Yi Feng and   
                 Chuanyi Li and   
                  Jidong Ge and   
                    Bin Luo and   
                     Vincent Ng   Recommending Statutes: a Portable Method
                                  Based on Neural Networks . . . . . . . . 16:1--16:22
                Yashen Wang and   
                 Huanhuan Zhang   HARP: a Novel Hierarchical Attention
                                  Model for Relation Prediction  . . . . . 17:1--17:22
                 Dawei Zhou and   
                   Si Zhang and   
      Mehmet Yigit Yildirim and   
               Scott Alcorn and   
              Hanghang Tong and   
              Hasan Davulcu and   
                     Jingrui He   High-Order Structure Exploration on
                                  Massive Graphs: a Local Graph Clustering
                                  Perspective  . . . . . . . . . . . . . . 18:1--18:26
               Chongshou Li and   
              Brenda Cheang and   
                Zhixing Luo and   
                     Andrew Lim   An Exponential Factorization Machine
                                  with Percentage Error Minimization to
                                  Retail Sales Forecasting . . . . . . . . 19:1--19:32
            Youcef Djenouri and   
            Djamel Djenouri and   
             Jerry Chun-Wei Lin   Trajectory Outlier Detection: New
                                  Problems and Solutions for Smart Cities  20:1--20:28
                Kafeng Wang and   
                Haoyi Xiong and   
                 Jiang Bian and   
               Zhanxing Zhu and   
                   Qian Gao and   
                Zhishan Guo and   
             Cheng-Zhong Xu and   
                   Jun Huan and   
                     Dejing Dou   Sampling Sparse Representations with
                                  Randomized Measurement Langevin Dynamics 21:1--21:21
           Radim Belohlavek and   
                 Martin Trnecka   The 8M Algorithm from Today's
                                  Perspective  . . . . . . . . . . . . . . 22:1--22:22
                      En Xu and   
                  Zhiwen Yu and   
                    Bin Guo and   
                      Helei Cui   Core Interest Network for Click-Through
                                  Rate Prediction  . . . . . . . . . . . . 23:1--23:16
             Aindrila Ghosh and   
               Mona Nashaat and   
               James Miller and   
                  Shaikh Quader   Context-Based Evaluation of
                                  Dimensionality Reduction
                                  Algorithms-Experiments and Statistical
                                  Significance Analysis  . . . . . . . . . 24:1--24:40
                Shikang Liu and   
           Fatemeh Vahedian and   
               David Hachen and   
               Omar Lizardo and   
      Christian Poellabauer and   
             Aaron Striegel and   
            Tijana Milenkovi\'c   Heterogeneous Network Approach to
                                  Predict Individuals' Mental Health . . . 25:1--25:26
               Zhengze Zhou and   
                   Giles Hooker   Unbiased Measurement of Feature
                                  Importance in Tree-Based Methods . . . . 26:1--26:21
            Matthew Almeida and   
                Yong Zhuang and   
                   Wei Ding and   
           Scott E. Crouter and   
                      Ping Chen   Mitigating Class-Boundary Label
                                  Uncertainty to Reduce Both Model Bias
                                  and Variance . . . . . . . . . . . . . . 27:1--27:18
Mario Andrés Muñoz and   
                    Tao Yan and   
            Matheus R. Leal and   
           Kate Smith-Miles and   
        Ana Carolina Lorena and   
            Gisele L. Pappa and   
Rômulo Madureira Rodrigues   An Instance Space Analysis of Regression
                                  Problems . . . . . . . . . . . . . . . . 28:1--28:25
                 Michele Coscia   Noise Corrected Sampling of Online
                                  Social Networks  . . . . . . . . . . . . 29:1--29:21
            Georg Steinbuss and   
              Klemens Böhm   Generating Artificial Outliers in the
                                  Absence of Genuine Ones --- A Survey . . 30:1--30:37
                     Yi Zhu and   
                     Lei Li and   
                     Xindong Wu   Stacked Convolutional Sparse
                                  Auto-Encoders for Representation
                                  Learning . . . . . . . . . . . . . . . . 31:1--31:21
                    Bin Sun and   
                 Dehui Kong and   
               Shaofan Wang and   
                Lichun Wang and   
                     Baocai Yin   Joint Transferable Dictionary Learning
                                  and View Adaptation for Multi-view Human
                                  Action Recognition . . . . . . . . . . . 32:1--32:23
            Unai Garciarena and   
        Alexander Mendiburu and   
                Roberto Santana   Towards Automatic Construction of
                                  Multi-Network Models for Heterogeneous
                                  Multi-Task Learning  . . . . . . . . . . 33:1--33:23

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 15, Number 3, May, 2021

                   Shi Ying and   
              Bingming Wang and   
                    Lu Wang and   
                Qingshan Li and   
                 Yishi Zhao and   
               Jianga Shang and   
                  Hao Huang and   
                Guoli Cheng and   
                   Zhe Yang and   
                   Jiangyi Geng   An Improved KNN-Based Efficient Log
                                  Anomaly Detection Method with
                                  Automatically Labeled Samples  . . . . . 34:1--34:22
            Andrea De Salve and   
                 Paolo Mori and   
              Barbara Guidi and   
                Laura Ricci and   
              Roberto Di Pietro   Predicting Influential Users in Online
                                  Social Network Groups  . . . . . . . . . 35:1--35:50
                   Hong Xie and   
               Mingze Zhong and   
                 Yongkun Li and   
                 John C. S. Lui   Understanding Persuasion Cascades in
                                  Online Product Rating Systems: Modeling,
                                  Analysis, and Inference  . . . . . . . . 36:1--36:29
                Zheng Zhang and   
               Xiaofeng Zhu and   
               Guangming Lu and   
                   Yudong Zhang   Probability Ordinal-Preserving Semantic
                                  Hashing for Large-Scale Image Retrieval  37:1--37:22
                Kijung Shin and   
               Euiwoong Lee and   
                   Jinoh Oh and   
           Mohammad Hammoud and   
             Christos Faloutsos   CoCoS: Fast and Accurate Distributed
                                  Triangle Counting in Graph Streams . . . 38:1--38:30
          Sezin Kircali Ata and   
                  Yuan Fang and   
                     Min Wu and   
                  Jiaqi Shi and   
            Chee Keong Kwoh and   
                      Xiaoli Li   Multi-View Collaborative Network
                                  Embedding  . . . . . . . . . . . . . . . 39:1--39:18
                   Wei Wang and   
                   Feng Xia and   
                    Jian Wu and   
                Zhiguo Gong and   
              Hanghang Tong and   
               Brian D. Davison   Scholar2vec: Vector Representation of
                                  Scholars for Lifetime Collaborator
                                  Prediction . . . . . . . . . . . . . . . 40:1--40:19
                   Luyi Bai and   
                Xiangnan Ma and   
            Mingcheng Zhang and   
                     Wenting Yu   TPmod: a Tendency-Guided Prediction
                                  Model for Temporal Knowledge Graph
                                  Completion . . . . . . . . . . . . . . . 41:1--41:17
              Jingjing Wang and   
               Wenjun Jiang and   
                   Kenli Li and   
                       Keqin Li   Reducing Cumulative Errors of
                                  Incremental CP Decomposition in Dynamic
                                  Online Social Networks . . . . . . . . . 42:1--42:33
                 Guanhao Wu and   
               Xiaofeng Gao and   
                     Ge Yan and   
                    Guihai Chen   Parallel Greedy Algorithm to Multiple
                                  Influence Maximization in Social Network 43:1--43:21
                   Lei Yang and   
                      Xi Yu and   
               Jiannong Cao and   
                  Xuxun Liu and   
                       Pan Zhou   Exploring Deep Reinforcement Learning
                                  for Task Dispatching in Autonomous
                                  On-Demand Services . . . . . . . . . . . 44:1--44:23
                  Lin Cheng and   
                Yuliang Shi and   
                  Kun Zhang and   
                Xinjun Wang and   
                   Zhiyong Chen   GGATB-LSTM: Grouping and Global
                                  Attention-based Time-aware Bidirectional
                                  LSTM Medical Treatment Behavior
                                  Prediction . . . . . . . . . . . . . . . 45:1--45:16
                 Xueyan Liu and   
                    Bo Yang and   
               Hechang Chen and   
           Katarzyna Musial and   
                Hongxu Chen and   
                    Yang Li and   
                      Wanli Zuo   A Scalable Redefined Stochastic
                                  Blockmodel . . . . . . . . . . . . . . . 46:1--46:28
                    Yan Liu and   
                    Bin Guo and   
               Daqing Zhang and   
           Djamal Zeghlache and   
               Jingmin Chen and   
                      Ke Hu and   
                Sizhe Zhang and   
                   Dan Zhou and   
                      Zhiwen Yu   Knowledge Transfer with Weighted
                                  Adversarial Network for Cold-Start Store
                                  Site Recommendation  . . . . . . . . . . 47:1--47:27
  Muhammad Anis Uddin Nasir and   
               Cigdem Aslay and   
Gianmarco De Francisci Morales and   
                Matteo Riondato   TipTap: Approximate Mining of Frequent
                                  $k$-Subgraph Patterns in Evolving Graphs 48:1--48:35
                   Chen Lin and   
             Zhichao Ouyang and   
                Xiaoli Wang and   
                     Hui Li and   
                  Zhenhua Huang   Preserve Integrity in Realtime Event
                                  Summarization  . . . . . . . . . . . . . 49:1--49:29
                  Jie Jiang and   
              Qiuqiang Kong and   
           Mark D. Plumbley and   
              Nigel Gilbert and   
           Mark Hoogendoorn and   
            Diederik M. Roijers   Deep Learning-Based Energy
                                  Disaggregation and On/Off Detection of
                                  Household Appliances . . . . . . . . . . 50:1--50:21
                Haida Zhang and   
             Zengfeng Huang and   
                 Xuemin Lin and   
                    Zhe Lin and   
               Wenjie Zhang and   
                     Ying Zhang   Efficient and High-Quality Seeded Graph
                                  Matching: Employing Higher-order
                                  Structural Information . . . . . . . . . 51:1--51:31
               Nils Barlaug and   
                 Jon Atle Gulla   Neural Networks for Entity Matching: a
                                  Survey . . . . . . . . . . . . . . . . . 52:1--52:37
                  Chen Chen and   
                Ruiyue Peng and   
                   Lei Ying and   
                  Hanghang Tong   Fast Connectivity Minimization on
                                  Large-Scale Networks . . . . . . . . . . 53:1--53:25

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 15, Number 4, June, 2021

                Yunzhe Wang and   
               George Baciu and   
                     Chenhui Li   A Layout-Based Classification Method for
                                  Visualizing Time-Varying Graphs  . . . . 54:1--54:24
                  Yi Ouyang and   
                    Bin Guo and   
                  Xing Tang and   
                Xiuqiang He and   
                 Jian Xiong and   
                      Zhiwen Yu   Mobile App Cross-Domain Recommendation
                                  with Multi-Graph Neural Network  . . . . 55:1--55:21
                    F. Dornaika   Elastic Embedding through Graph
                                  Convolution-based Regression for
                                  Semi-supervised Classification . . . . . 56:1--56:11
                   Yanni Li and   
                   Bing Liu and   
                  Yongbo Yu and   
                     Hui Li and   
                 Jiacan Sun and   
                   Jiangtao Cui   3E-LDA: Three Enhancements to Linear
                                  Discriminant Analysis  . . . . . . . . . 57:1--57:20
                Tianzi Zang and   
                 Yanmin Zhu and   
                   Yanan Xu and   
                       Jiadi Yu   Jointly Modeling Spatio-Temporal
                                  Dependencies and Daily Flow Correlations
                                  for Crowd Flow Prediction  . . . . . . . 58:1--58:20
           Nesreen K. Ahmed and   
              Nick Duffield and   
                  Ryan A. Rossi   Online Sampling of Temporal Networks . . 59:1--59:27
                  Huan Zhao and   
               Quanming Yao and   
               Yangqiu Song and   
              James T. Kwok and   
                    Dik Lun Lee   Side Information Fusion for Recommender
                                  Systems over Heterogeneous Information
                                  Network  . . . . . . . . . . . . . . . . 60:1--60:32
               Daokun Zhang and   
                    Jie Yin and   
               Xingquan Zhu and   
                  Chengqi Zhang   Search Efficient Binary Network
                                  Embedding  . . . . . . . . . . . . . . . 61:1--61:27
                Guojie Song and   
                   Yun Wang and   
                     Lun Du and   
                      Yi Li and   
                   Junshan Wang   Network Embedding on Hierarchical
                                  Community Structure Network  . . . . . . 62:1--62:23
                     Kui Yu and   
                    Lin Liu and   
                     Jiuyong Li   A Unified View of Causal and Non-causal
                                  Feature Selection  . . . . . . . . . . . 63:1--63:46
                  Shuai Yin and   
                Yanfeng Sun and   
                 Junbin Gao and   
                  Yongli Hu and   
                 Boyue Wang and   
                     Baocai Yin   Robust Image Representation via Low Rank
                                  Locality Preserving Projection . . . . . 64:1--64:22
            Georg Steinbuss and   
              Klemens Böhm   Benchmarking Unsupervised Outlier
                                  Detection with Realistic Synthetic Data  65:1--65:20
                Mingkai Lin and   
                Wenzhong Li and   
              Lynda J. Song and   
              Cam-Tu Nguyen and   
             Xiaoliang Wang and   
                      Sanglu Lu   SAKE: Estimating Katz Centrality Based
                                  on Sampling for Large-Scale Social
                                  Networks . . . . . . . . . . . . . . . . 66:1--66:21
Chainarong Amornbunchornvej and   
              Elena Zheleva and   
              Tanya Berger-Wolf   Variable-lag Granger Causality and
                                  Transfer Entropy for Time Series
                                  Analysis . . . . . . . . . . . . . . . . 67:1--67:30
                  Peike Xia and   
               Wenjun Jiang and   
                     Jie Wu and   
                Surong Xiao and   
                    Guojun Wang   Exploiting Temporal Dynamics in Product
                                  Reviews for Dynamic Sentiment Prediction
                                  at the Aspect Level  . . . . . . . . . . 68:1--68:29
            Suhansanu Kumar and   
                  Hari Sundaram   Attribute-Guided Network Sampling
                                  Mechanisms . . . . . . . . . . . . . . . 69:1--69:24
              Negin Ghasemi and   
           Ramin Fatourechi and   
                Saeedeh Momtazi   User Embedding for Expert Finding in
                                  Community Question Answering . . . . . . 70:1--70:16
                Ruidong Yan and   
                      Yi Li and   
                  Deying Li and   
               Yongcai Wang and   
                 Yuqing Zhu and   
                       Weili Wu   A Stochastic Algorithm Based on Reverse
                                  Sampling Technique to Fight Against the
                                  Cyberbullying  . . . . . . . . . . . . . 71:1--71:22
                Juan-Hui Li and   
                 Ling Huang and   
            Chang-Dong Wang and   
                 Dong Huang and   
             Jian-Huang Lai and   
                       Pei Chen   Attributed Network Embedding with
                                  Micro-Meso Structure . . . . . . . . . . 72:1--72:26
               Benhui Zhang and   
                Maoguo Gong and   
              Jianbin Huang and   
                      Xiaoke Ma   Clustering Heterogeneous Information
                                  Network by Joint Graph Embedding and
                                  Nonnegative Matrix Factorization . . . . 73:1--73:25

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 15, Number 5, June, 2021

                  Liuyi Yao and   
                Zhixuan Chu and   
                   Sheng Li and   
                 Yaliang Li and   
                   Jing Gao and   
                   Aidong Zhang   A Survey on Causal Inference . . . . . . 74:1--74:46
            Wissam Al Jurdi and   
           Jacques Bou Abdo and   
          Jacques Demerjian and   
               Abdallah Makhoul   Critique on Natural Noise in Recommender
                                  Systems  . . . . . . . . . . . . . . . . 75:1--75:30
            Quang-huy Duong and   
            Heri Ramampiaro and   
 Kjetil Nòrvåg and   
                    Thu-lan Dam   Density Guarantee on Finding Multiple
                                  Subgraphs and Subtensors . . . . . . . . 76:1--76:32
                 Paul Burkhardt   Optimal Algebraic Breadth-First Search
                                  for Sparse Graphs  . . . . . . . . . . . 77:1--77:19
         Sunil Kumar Maurya and   
                    Xin Liu and   
                Tsuyoshi Murata   Graph Neural Networks for Fast Node
                                  Ranking Approximation  . . . . . . . . . 78:1--78:32
         Lorenzo De Stefani and   
              Erisa Terolli and   
                      Eli Upfal   Tiered Sampling: an Efficient Method for
                                  Counting Sparse Motifs in Massive Graph
                                  Streams  . . . . . . . . . . . . . . . . 79:1--79:52
                Josef Bauer and   
                Dietmar Jannach   Improved Customer Lifetime Value
                                  Prediction With Sequence-To-Sequence
                                  Learning and Feature-Based Models  . . . 80:1--80:37
    Seyed-Vahid Sanei-Mehri and   
                 Apurba Das and   
             Hooman Hashemi and   
            Srikanta Tirthapura   Mining Largest Maximal Quasi-Cliques . . 81:1--81:21
               Wensheng Gan and   
         Jerry Chun-Wei Lin and   
             Jiexiong Zhang and   
                Hongzhi Yin and   
    Philippe Fournier-Viger and   
             Han-Chieh Chao and   
                   Philip S. Yu   Utility Mining Across Multi-Dimensional
                                  Sequences  . . . . . . . . . . . . . . . 82:1--82:24
               Shaoyang Hao and   
                    Bin Guo and   
                   Hao Wang and   
                Yunji Liang and   
                   Lina Yao and   
                Qianru Wang and   
                      Zhiwen Yu   DeepDepict: Enabling Information Rich,
                                  Personalized Product Description
                                  Generation With the Deep Multiple
                                  Pointer Generator Network  . . . . . . . 83:1--83:16
              Jianxiong Guo and   
                       Weili Wu   Adaptive Influence Maximization: If
                                  Influential Node Unwilling to Be the
                                  Seed . . . . . . . . . . . . . . . . . . 84:1--84:23
                Weiyu Cheng and   
                Yanyan Shen and   
              Linpeng Huang and   
                     Yanmin Zhu   Dual-Embedding based Deep Latent Factor
                                  Models for Recommendation  . . . . . . . 85:1--85:24
             Shalini Sharma and   
               Angshul Majumdar   Sequential Transform Learning  . . . . . 86:1--86:18
                    Kai Liu and   
                 Hongbo Liu and   
              Tomas E. Ward and   
                   Hua Wang and   
                    Yu Yang and   
                   Bo Zhang and   
                     Xindong Wu   Self-Adaptive Skeleton Approaches to
                                  Detect Self-Organized Coalitions From
                                  Brain Functional Networks Through
                                  Probabilistic Mixture Models . . . . . . 87:1--87:26
                 Xiang Ling and   
                 Lingfei Wu and   
               Saizhuo Wang and   
                Gaoning Pan and   
                 Tengfei Ma and   
                  Fangli Xu and   
                Alex X. Liu and   
                Chunming Wu and   
                    Shouling Ji   Deep Graph Matching and Searching for
                                  Semantic Code Retrieval  . . . . . . . . 88:1--88:21
                   Hao Peng and   
                 Jianxin Li and   
               Yangqiu Song and   
                 Renyu Yang and   
               Rajiv Ranjan and   
               Philip S. Yu and   
                      Lifang He   Streaming Social Event Detection and
                                  Evolution Discovery in Heterogeneous
                                  Information Networks . . . . . . . . . . 89:1--89:33
                    Lin Yue and   
                   Hao Shen and   
                   Sen Wang and   
               Robert Boots and   
               Guodong Long and   
               Weitong Chen and   
                   Xiaowei Zhao   Exploring BCI Control in Smart
                                  Environments: Intention Recognition Via
                                  EEG Representation Enhancement Learning  90:1--90:20
                 Huawen Liu and   
                   Enhui Li and   
                Xinwang Liu and   
                   Kaile Su and   
                  Shichao Zhang   Anomaly Detection With Kernel Preserving
                                  Embedding  . . . . . . . . . . . . . . . 91:1--91:18
                     Bo Liu and   
                      Xi He and   
              Mingdong Song and   
              Jiangqiang Li and   
                Guangzhi Qu and   
               Jianlei Lang and   
                      Rentao Gu   A Method for Mining Granger Causality
                                  Relationship on Atmospheric Visibility   92:1--92:16

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 15, Number 6, July, 2021

            Dipanjyoti Paul and   
                Rahul Kumar and   
              Sriparna Saha and   
                  Jimson Mathew   Multi-objective Cuckoo Search-based
                                  Streaming Feature Selection for
                                  Multi-label Dataset  . . . . . . . . . . 93:1--93:24
       Federico Coró and   
       Gianlorenzo D'angelo and   
                    Yllka Velaj   Link Recommendation for Social Influence
                                  Maximization . . . . . . . . . . . . . . 94:1--94:23
               Xiaofeng Gao and   
                   Wenyi Xu and   
              Mingding Liao and   
                    Guihai Chen   Trust Prediction for Online Social
                                  Networks with Integrated Time-Aware
                                  Similarity . . . . . . . . . . . . . . . 95:1--95:30
              Marco Bressan and   
             Stefano Leucci and   
           Alessandro Panconesi   Faster Motif Counting via Succinct Color
                                  Coding and Adaptive Sampling . . . . . . 96:1--96:27
              Shaoning Zeng and   
                  Bob Zhang and   
               Jianping Gou and   
                    Yong Xu and   
                      Wei Huang   Fast and Robust Dictionary-based
                                  Classification for Image Data  . . . . . 97:1--97:22
                Chenglin Li and   
             Carrie Lu Tong and   
                     Di Niu and   
                  Bei Jiang and   
                   Xiao Zuo and   
                  Lei Cheng and   
                 Jian Xiong and   
                  Jianming Yang   Similarity Embedding Networks for Robust
                                  Human Activity Recognition . . . . . . . 98:1--98:17
             Paramita Koley and   
                Avirup Saha and   
    Sourangshu Bhattacharya and   
              Niloy Ganguly and   
                        Abir De   Demarcating Endogenous and Exogenous
                                  Opinion Dynamics: an Experimental Design
                                  Approach . . . . . . . . . . . . . . . . 99:1--99:25
             Mikel Joaristi and   
                  Edoardo Serra   SIR-GN: a Fast Structural Iterative
                                  Representation Learning Approach For
                                  Graph Nodes  . . . . . . . . . . . . . . 100:1--100:39
                     Man Wu and   
                 Shirui Pan and   
                     Lan Du and   
                   Xingquan Zhu   Learning Graph Neural Networks with
                                  Positive and Unlabeled Nodes . . . . . . 101:1--101:25
               Dongsheng Li and   
                Haodong Liu and   
                  Chao Chen and   
              Yingying Zhao and   
             Stephen M. Chu and   
                        Bo Yang   NeuSE: a Neural Snapshot Ensemble Method
                                  for Collaborative Filtering  . . . . . . 102:1--102:20
              Jinliang Deng and   
                 Xiusi Chen and   
                  Zipei Fan and   
                Renhe Jiang and   
                  Xuan Song and   
                  Ivor W. Tsang   The Pulse of Urban Transport: Exploring
                                  the Co-evolving Pattern for
                                  Spatio-temporal Forecasting  . . . . . . 103:1--103:25
                Yashen Wang and   
             Huanhuan Zhang and   
                 Zhirun Liu and   
                     Qiang Zhou   Hierarchical Concept-Driven Language
                                  Model  . . . . . . . . . . . . . . . . . 104:1--104:22
       Julián Alarte and   
                    Josep Silva   Page-Level Main Content Extraction From
                                  Heterogeneous Webpages . . . . . . . . . 105:1--105:105
       Buddhika Nettasinghe and   
           Vikram Krishnamurthy   Maximum Likelihood Estimation of
                                  Power-law Degree Distributions via
                                  Friendship Paradox-based Sampling  . . . 106:1--106:28
                Ali Anaissi and   
             Basem Suleiman and   
              Seid Miad Zandavi   Online Tensor-Based Learning Model for
                                  Structural Damage Detection  . . . . . . 107:1--107:18
                   Rui Wang and   
                 Yongkun Li and   
                  Shuai Lin and   
                   Hong Xie and   
                 Yinlong Xu and   
                 John C. S. Lui   On Modeling Influence Maximization in
                                  Social Activity Networks under General
                                  Settings . . . . . . . . . . . . . . . . 108:1--108:28
                   Zhe Chen and   
                  Aixin Sun and   
                   Xiaokui Xiao   Incremental Community Detection on Large
                                  Complex Attributed Network . . . . . . . 109:1--109:20
                   Tong Xia and   
                 Junjie Lin and   
                    Yong Li and   
                   Jie Feng and   
                    Pan Hui and   
                 Funing Sun and   
              Diansheng Guo and   
                     Depeng Jin   $3$DGCN: $3$-Dimensional Dynamic Graph
                                  Convolutional Network for Citywide Crowd
                                  Flow Prediction  . . . . . . . . . . . . 110:1--110:21
                    Kai Liu and   
                 Xiangyu Li and   
                 Zhihui Zhu and   
             Lodewijk Brand and   
                       Hua Wang   Factor-Bounded Nonnegative Matrix
                                  Factorization  . . . . . . . . . . . . . 111:1--111:18
              Huandong Wang and   
                    Yong Li and   
                      Mu Du and   
                 Zhenhui Li and   
                     Depeng Jin   App2Vec: Context-Aware Application Usage
                                  Prediction . . . . . . . . . . . . . . . 112:1--112:21


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 16, Number 1, February, 2022

                Fenglin Liu and   
                    Xian Wu and   
                    Shen Ge and   
              Xuancheng Ren and   
                    Wei Fan and   
                     Xu Sun and   
                    Yuexian Zou   DiMBERT: Learning Vision-Language
                                  Grounded Representations with
                                  Disentangled Multimodal-Attention  . . . 1:1--1:19
                   Chen Gao and   
                    Yong Li and   
                  Fuli Feng and   
             Xiangning Chen and   
                   Kai Zhao and   
                Xiangnan He and   
                     Depeng Jin   Cross-domain Recommendation with
                                  Bridge-Item Embeddings . . . . . . . . . 2:1--2:23
                  Luyue Lin and   
                  Xin Zheng and   
                     Bo Liu and   
                   Wei Chen and   
                   Yanshan Xiao   A Latent Variable Augmentation Method
                                  for Image Categorization with
                                  Insufficient Training Samples  . . . . . 3:1--3:35
              Jianliang Gao and   
              Xiaoting Ying and   
                    Cong Xu and   
               Jianxin Wang and   
              Shichao Zhang and   
                        Zhao Li   Graph-Based Stock Recommendation by
                                  Time-Aware Relational Attention Network  4:1--4:21
                 Yaojin Lin and   
                 Qinghua Hu and   
                Jinghua Liu and   
               Xingquan Zhu and   
                     Xindong Wu   MULFE: Multi-Label Learning via
                                  Label-Specific Feature Space Ensemble    5:1--5:24
                 Fandel Lin and   
                Hsun-Ping Hsieh   A Joint Passenger Flow Inference and
                                  Path Recommender System for Deploying
                                  New Routes and Stations of Mass Transit
                                  Transportation . . . . . . . . . . . . . 6:1--6:36
                Huafeng Liu and   
                Liping Jing and   
               Jingxuan Wen and   
                  Pengyu Xu and   
                    Jian Yu and   
                  Michael K. Ng   Bayesian Additive Matrix Approximation
                                  for Social Recommendation  . . . . . . . 7:1--7:34
                 Jinjin Guo and   
               Longbing Cao and   
                    Zhiguo Gong   Recurrent Coupled Topic Modeling over
                                  Sequential Documents . . . . . . . . . . 8:1--8:32
                 Yunyan Guo and   
                   Jianzhong Li   Distributed Latent Dirichlet Allocation
                                  on Streams . . . . . . . . . . . . . . . 9:1--9:20
                  Juhee Han and   
                  Younghoon Lee   Explainable Artificial
                                  Intelligence-Based Competitive Factor
                                  Identification . . . . . . . . . . . . . 10:1--10:11
             Ricky Laishram and   
            Jeremy D. Wendt and   
            Sucheta Soundarajan   MCS+: an Efficient Algorithm for
                                  Crawling the Community Structure in
                                  Multiplex Networks . . . . . . . . . . . 11:1--11:32
                Lichen Wang and   
             Zhengming Ding and   
                         Yun Fu   Generic Multi-label Annotation via
                                  Adaptive Graph and Marginalized
                                  Augmentation . . . . . . . . . . . . . . 12:1--12:20
            Alejandro Moreo and   
               Andrea Esuli and   
            Fabrizio Sebastiani   Lost in Transduction: Transductive
                                  Transfer Learning in Text Classification 13:1--13:21
                 Yangfan Li and   
                   Kenli Li and   
                   Cen Chen and   
                    Xu Zhou and   
                  Zeng Zeng and   
                       Keqin Li   Modeling Temporal Patterns with Dilated
                                  Convolutions for Time-Series Forecasting 14:1--14:22
                  Keyu Yang and   
                 Yunjun Gao and   
                  Lei Liang and   
                  Song Bian and   
                    Lu Chen and   
                   Baihua Zheng   CrowdTC: Crowd-powered Learning for Text
                                  Classification . . . . . . . . . . . . . 15:1--15:23
                Haobing Liu and   
                 Yanmin Zhu and   
                Tianzi Zang and   
                   Yanan Xu and   
                   Jiadi Yu and   
                   Feilong Tang   Jointly Modeling Heterogeneous Student
                                  Behaviors and Interactions among
                                  Multiple Prediction Tasks  . . . . . . . 16:1--16:24
                     Wu Lee and   
                Yuliang Shi and   
               Hongfeng Sun and   
                  Lin Cheng and   
                  Kun Zhang and   
                Xinjun Wang and   
                   Zhiyong Chen   MSIPA: Multi-Scale Interval
                                  Pattern-Aware Network for ICU Transfer
                                  Prediction . . . . . . . . . . . . . . . 17:1--17:17
             Min-Ling Zhang and   
              Jun-Peng Fang and   
                     Yi-Bo Wang   BiLabel-Specific Features for
                                  Multi-Label Classification . . . . . . . 18:1--18:23
                     Bo Liu and   
               Haowen Zhong and   
                   Yanshan Xiao   New Multi-View Classification Method
                                  with Uncertain Data  . . . . . . . . . . 19:1--19:23
               Gyoung S. Na and   
                   Hyunju Chang   Unsupervised Subspace Extraction via
                                  Deep Kernelized Clustering . . . . . . . 20:1--20:15

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 16, Number 2, April, 2022

              Charu C. Aggarwal   Communication from the Editor-in-Chief:
                                  State of the \booktitleACM Transactions
                                  on Knowledge Discovery from Data . . . . 21e:1--21e:2
              Chunkai Zhang and   
                   Zilin Du and   
                Yuting Yang and   
               Wensheng Gan and   
                   Philip S. Yu   On-Shelf Utility Mining of Sequence Data 21:1--21:31
                  Cong Tran and   
              Won-Yong Shin and   
                  Andreas Spitz   Community Detection in Partially
                                  Observable Social Networks . . . . . . . 22:1--22:24
                    Zhao Li and   
              Junshuai Song and   
                  Zehong Hu and   
                  Zhen Wang and   
                        Jun Gao   Constrained Dual-Level Bandit for
                                  Personalized Impression Regulation in
                                  Online Ranking Systems . . . . . . . . . 23:1--23:23
               Kevin O'hare and   
        Anna Jurek-Loughrey and   
               Cassio De Campos   High-Value Token-Blocking: Efficient
                                  Blocking Method for Record Linkage . . . 24:1--24:17
                  Ming Ding and   
                Tianyu Wang and   
                    Xudong Wang   Establishing Smartphone User Behavior
                                  Model Based on Energy Consumption Data   25:1--25:40
   João Saúde and   
            Guilherme Ramos and   
           Ludovico Boratto and   
                 Carlos Caleiro   A Robust Reputation-Based Group Ranking
                                  System and Its Resistance to Bribery . . 26:1--26:35
                   Hanlu Wu and   
                 Tengfei Ma and   
                 Lingfei Wu and   
                  Fangli Xu and   
                    Shouling Ji   Exploiting Heterogeneous Graph Neural
                                  Networks with Latent Worker/Task
                                  Correlation Information for Label
                                  Aggregation in Crowdsourcing . . . . . . 27:1--27:18
                 Hui-Jia Li and   
                   Lin Wang and   
                    Zhan Bu and   
                    Jie Cao and   
                       Yong Shi   Measuring the Network Vulnerability
                                  Based on Markov Criticality  . . . . . . 28:1--28:24
              Guangtao Wang and   
                   Gao Cong and   
                 Ying Zhang and   
                   Zhen Hai and   
                     Jieping Ye   A Synopsis Based Approach for Itemset
                                  Frequency Estimation over Massive
                                  Multi-Transaction Stream . . . . . . . . 29:1--29:30
                Jianfei Yin and   
                 Ruili Wang and   
                 Yeqing Guo and   
                  Yizhe Bai and   
                  Shunda Ju and   
                  Weili Liu and   
            Joshua Zhexue Huang   Wealth Flow Model: Online Portfolio
                                  Selection Based on Learning Wealth Flow
                                  Matrices . . . . . . . . . . . . . . . . 30:1--30:27
         Juan I. G. Hidalgo and   
      Silas G. T. C. Santos and   
           Roberto S. M. Barros   Dynamically Adjusting Diversity in
                                  Ensembles for the Classification of Data
                                  Streams with Concept Drift . . . . . . . 31:1--31:20
           Riccardo Cantini and   
           Fabrizio Marozzo and   
             Giovanni Bruno and   
                  Paolo Trunfio   Learning Sentence-to-Hashtags Semantic
                                  Mapping for Hashtag Recommendation on
                                  Microblogs . . . . . . . . . . . . . . . 32:1--32:26
               Rediet Abebe and   
          T.-H. Hubert Chan and   
              Jon Kleinberg and   
               Zhibin Liang and   
               David Parkes and   
                Mauro Sozio and   
     Charalampos E. Tsourakakis   Opinion Dynamics Optimization by Varying
                                  Susceptibility to Persuasion via
                                  Non-Convex Local Search  . . . . . . . . 33:1--33:34
                  Yang Yang and   
               Hongchen Wei and   
             Zhen-Qiang Sun and   
                Guang-Yu Li and   
              Yuanchun Zhou and   
                  Hui Xiong and   
                      Jian Yang   S2OSC: a Holistic Semi-Supervised
                                  Approach for Open Set Classification . . 34:1--34:27
               Yiding Zhang and   
                  Xiao Wang and   
                   Nian Liu and   
                      Chuan Shi   Embedding Heterogeneous Information
                                  Network in Hyperbolic Spaces . . . . . . 35:1--35:23
               Xueyuan Wang and   
               Hongpo Zhang and   
               Zongmin Wang and   
               Yaqiong Qiao and   
                Jiangtao Ma and   
                    Honghua Dai   Con&Net: a Cross-Network Anchor Link
                                  Discovery Method Based on Embedding
                                  Representation . . . . . . . . . . . . . 36:1--36:18
              Hangbin Zhang and   
            Raymond K. Wong and   
                  Victor W. Chu   Hybrid Variational Autoencoder for
                                  Recommender Systems  . . . . . . . . . . 37:1--37:37
   Lucas Santos De Oliveira and   
    Pedro O. S. Vaz-De-Melo and   
           Aline Carneiro Viana   Assessing Large-Scale Power Relations
                                  among Locations from Mobility Data . . . 38:1--38:31
               Zhenyu Zhang and   
                  Lei Zhang and   
                Dingqi Yang and   
                       Liu Yang   KRAN: Knowledge Refining Attention
                                  Network for Recommendation . . . . . . . 39:1--39:20
                 Liang Zhao and   
                 Yuyang Gao and   
                 Jieping Ye and   
                  Feng Chen and   
                 Yanfang Ye and   
              Chang-Tien Lu and   
             Naren Ramakrishnan   Spatio-Temporal Event Forecasting Using
                                  Incremental Multi-Source Feature
                                  Learning . . . . . . . . . . . . . . . . 40:1--40:28

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 16, Number 3, June, 2022

                   Shuo Lei and   
               Xuchao Zhang and   
                 Liang Zhao and   
      Arnold P. Boedihardjo and   
                  Chang-Tien Lu   Online and Distributed Robust
                                  Regressions with Extremely Noisy Labels  41:1--41:24
                Xingjian Li and   
                Haoyi Xiong and   
                  Zeyu Chen and   
                   Jun Huan and   
                     Ji Liu and   
             Cheng-Zhong Xu and   
                     Dejing Dou   Knowledge Distillation with Attention
                                  for Deep Transfer Learning of
                                  Convolutional Networks . . . . . . . . . 42:1--42:20
               Mona Nashaat and   
             Aindrila Ghosh and   
               James Miller and   
                  Shaikh Quader   Semi-Supervised Ensemble Learning for
                                  Dealing with Inaccurate and Incomplete
                                  Supervision  . . . . . . . . . . . . . . 43:1--43:33
                  Ping Shao and   
                  Yang Yang and   
                Shengyao Xu and   
                  Chunping Wang   Network Embedding via Motifs . . . . . . 44:1--44:20
                  Kun Kuang and   
              Hengtao Zhang and   
                   Runze Wu and   
                     Fei Wu and   
             Yueting Zhuang and   
                    Aijun Zhang   Balance-Subsampled Stable Prediction
                                  Across Unknown Test Data . . . . . . . . 45:1--45:21
                  Ling Chen and   
                  Xing Tang and   
                 Weiqi Chen and   
                Yuntao Qian and   
                Yansheng Li and   
                  Yongjun Zhang   DACHA: a Dual Graph Convolution Based
                                  Temporal Knowledge Graph Representation
                                  Learning Method Using Historical
                                  Relation . . . . . . . . . . . . . . . . 46:1--46:18
              Huandong Wang and   
                    Yong Li and   
                 Junjie Lin and   
               Hancheng Cao and   
                     Depeng Jin   Context-Aware Semantic Annotation of
                                  Mobility Records . . . . . . . . . . . . 47:1--47:20
                   Tian Shi and   
               Xuchao Zhang and   
                  Ping Wang and   
               Chandan K. Reddy   Corpus-level and Concept-based
                                  Explanations for Interpretable Document
                                  Classification . . . . . . . . . . . . . 48:1--48:17
                   Jie Feng and   
                    Yong Li and   
                 Ziqian Lin and   
                   Can Rong and   
                 Funing Sun and   
              Diansheng Guo and   
                     Depeng Jin   Context-aware Spatial-Temporal Neural
                                  Network for Citywide Crowd Flow
                                  Prediction via Modeling Long-range
                                  Spatial Dependency . . . . . . . . . . . 49:1--49:21
                  Yang Zhou and   
               Jiaxiang Ren and   
                Ruoming Jin and   
                Zijie Zhang and   
               Jingyi Zheng and   
                  Zhe Jiang and   
                     Da Yan and   
                     Dejing Dou   Unsupervised Adversarial Network
                                  Alignment with Reinforcement Learning    50:1--50:29
                   Youxi Wu and   
                Lanfang Luo and   
                     Yan Li and   
                    Lei Guo and   
    Philippe Fournier-Viger and   
               Xingquan Zhu and   
                     Xindong Wu   NTP-Miner: Nonoverlapping Three-Way
                                  Sequential Pattern Mining  . . . . . . . 51:1--51:21
             Yuanchun Jiang and   
             Ruicheng Liang and   
                   Ji Zhang and   
               Jianshan Sun and   
                Yezheng Liu and   
                      Yang Qian   Network Public Opinion Detection During
                                  the Coronavirus Pandemic: a Short-Text
                                  Relational Topic Model . . . . . . . . . 52:1--52:27
                   Heli Sun and   
                    Yang Li and   
                    Bing Lv and   
                  Wujie Yan and   
                   Liang He and   
               Shaojie Qiao and   
                  Jianbin Huang   Graph Community Infomax  . . . . . . . . 53:1--53:21
                  Guliu Liu and   
                     Lei Li and   
               Guanfeng Liu and   
                     Xindong Wu   Social Group Query Based on
                                  Multi-Fuzzy-Constrained Strong
                                  Simulation . . . . . . . . . . . . . . . 54:1--54:27
            Shangsong Liang and   
                Zhuo Ouyang and   
                   Zaiqiao Meng   A Normalizing Flow-Based Co-Embedding
                                  Model for Attributed Networks  . . . . . 55:1--55:31
                 Yonghui Xu and   
               Shengjie Sun and   
               Huiguo Zhang and   
                Chang'an Yi and   
                  Yuan Miao and   
                  Dong Yang and   
               Xiaonan Meng and   
                      Yi Hu and   
                    Ke Wang and   
                Huaqing Min and   
               Hengjie Song and   
                  Chuanyan Miao   Time-Aware Graph Embedding: a Temporal
                                  Smoothness and Task-Oriented Approach    56:1--56:23
            Robert A. Sowah and   
          Bernard Kuditchar and   
           Godfrey A. Mills and   
             Amevi Acakpovi and   
            Raphael A. Twum and   
                 Gifty Buah and   
                  Robert Agboyi   HCBST: an Efficient Hybrid Sampling
                                  Technique for Class Imbalance Problems   57:1--57:37
                Junchen Jin and   
               Mark Heimann and   
                     Di Jin and   
                   Danai Koutra   Toward Understanding and Evaluating
                                  Structural Node Embeddings . . . . . . . 58:1--58:32
               Mengzhuo Guo and   
                Zhongzhi Xu and   
             Qingpeng Zhang and   
                 Xiuwu Liao and   
                    Jiapeng Liu   Deciphering Feature Effects on
                                  Decision-Making in Ordinal Regression
                                  Problems: an Explainable Ordinal
                                  Factorization Model  . . . . . . . . . . 59:1--59:26
         Jerry Chun-Wei Lin and   
            Youcef Djenouri and   
          Gautam Srivastava and   
                  Yuanfa Li and   
                   Philip S. Yu   Scalable Mining of High-Utility
                                  Sequential Patterns With Three-Tier
                                  MapReduce Model  . . . . . . . . . . . . 60:1--60:26

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 16, Number 4, August, 2022

               Manish Gupta and   
                 Puneet Agrawal   Compression of Deep Learning Models for
                                  Text: a Survey . . . . . . . . . . . . . 61:1--61:55
                  Chang Liu and   
                    Jie Yan and   
                 Feiyue Guo and   
                        Min Guo   Forecasting the Market with Machine
                                  Learning Algorithms: an Application of
                                  NMC-BERT-LSTM-DQN-X Algorithm in
                                  Quantitative Trading . . . . . . . . . . 62:1--62:22
                  Danlu Liu and   
                      Yu Li and   
            William Baskett and   
                    Dan Lin and   
                   Chi-Ren Shyu   RHPTree-Risk Hierarchical Pattern Tree
                                  for Scalable Long Pattern Mining . . . . 63:1--63:33
                  Muyang Ma and   
                Pengjie Ren and   
                Zhumin Chen and   
               Zhaochun Ren and   
                 Lifan Zhao and   
                  Peiyu Liu and   
                     Jun Ma and   
               Maarten de Rijke   Mixed Information Flow for Cross-Domain
                                  Sequential Recommendations . . . . . . . 64:1--64:32
                     Zhe Fu and   
                      Li Yu and   
                         Xi Niu   TRACE: Travel Reinforcement
                                  Recommendation Based on Location-Aware
                                  Context Extraction . . . . . . . . . . . 65:1--65:22
                     Kui Yu and   
                Yajing Yang and   
                       Wei Ding   Causal Feature Selection with Missing
                                  Data . . . . . . . . . . . . . . . . . . 66:1--66:24
                    Fei Gao and   
                   Jiada Li and   
                    Yisu Ge and   
               Jianwen Shao and   
                 Shufang Lu and   
                      Libo Weng   A Trajectory Evaluator by Sub-tracks for
                                  Detecting VOT-based Anomalous Trajectory 67:1--67:19
   Fereshteh Jafariakinabad and   
                    Kien A. Hua   A Self-Supervised Representation
                                  Learning of Sentence Structure for
                                  Authorship Attribution . . . . . . . . . 68:1--68:16
                 Honghui Xu and   
                Zhipeng Cai and   
                         Wei Li   Privacy-Preserving Mechanisms for
                                  Multi-Label Image Recognition  . . . . . 69:1--69:21
          Muhammad Abulaish and   
                 Mohd Fazil and   
               Mohammed J. Zaki   Domain-Specific Keyword Extraction Using
                                  Joint Modeling of Local and Global
                                  Contextual Semantics . . . . . . . . . . 70:1--70:30
                    Mu Yuan and   
                  Lan Zhang and   
              Xiang-Yang Li and   
              Lin-Zhuo Yang and   
                      Hui Xiong   Adaptive Model Scheduling for
                                  Resource-efficient Data Labeling . . . . 71:1--71:22
             Min-Ling Zhang and   
                Jing-Han Wu and   
                   Wei-Xuan Bao   Disambiguation Enabled Linear
                                  Discriminant Analysis for Partial Label
                                  Dimensionality Reduction . . . . . . . . 72:1--72:18
               Chenji Huang and   
               Yixiang Fang and   
                 Xuemin Lin and   
                    Xin Cao and   
                   Wenjie Zhang   ABLE: Meta-Path Prediction in
                                  Heterogeneous Information Networks . . . 73:1--73:21
                Junkun Yuan and   
                  Anpeng Wu and   
                  Kun Kuang and   
                      Bo Li and   
                   Runze Wu and   
                     Fei Wu and   
                     Lanfen Lin   Auto IV: Counterfactual Prediction via
                                  Automatic Instrumental Variable
                                  Decomposition  . . . . . . . . . . . . . 74:1--74:20
           Siddharth Bhatia and   
                    Rui Liu and   
                 Bryan Hooi and   
                 Minji Yoon and   
                Kijung Shin and   
             Christos Faloutsos   Real-Time Anomaly Detection in Edge
                                  Streams  . . . . . . . . . . . . . . . . 75:1--75:22
          Aida Sheshbolouki and   
             M. Tamer Özsu   sGrapp: Butterfly Approximation in
                                  Streaming Graphs . . . . . . . . . . . . 76:1--76:43
                  Hanrui Wu and   
                  Michael K. Ng   Multiple Graphs and Low-Rank Embedding
                                  for Multi-Source Heterogeneous Domain
                                  Adaptation . . . . . . . . . . . . . . . 77:1--77:25
     Liudmila Prokhorenkova and   
            Alexey Tikhonov and   
                   Nelly Litvak   When Less Is More: Systematic Analysis
                                  of Cascade-Based Community Detection . . 78:1--78:22
                    Xu Yang and   
                  Chao Song and   
                  Mengdi Yu and   
                  Jiqing Gu and   
                       Ming Liu   Distributed Triangle Approximately
                                  Counting Algorithms in Simple Graph
                                  Stream . . . . . . . . . . . . . . . . . 79:1--79:43
                  Hanrui Wu and   
                  Michael K. Ng   Hypergraph Convolution on
                                  Nodes-Hyperedges Network for
                                  Semi-Supervised Node Classification  . . 80:1--80:19

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 16, Number 5, October, 2022

                Yanyan Shen and   
                 Baoyuan Ou and   
                     Ranzhen Li   MBN: Towards Multi-Behavior Sequence
                                  Modeling for Next Basket Recommendation  81:1--81:23
                 Xiangyu Ke and   
                Arijit Khan and   
               Francesco Bonchi   Multi-relation Graph Summarization . . . 82:1--82:30
               Weirong Chen and   
                Jiaqi Zheng and   
                   Haoyu Yu and   
                Guihai Chen and   
                 Yixin Chen and   
                   Dongsheng Li   Online Learning Bipartite Matching with
                                  Non-stationary Distributions . . . . . . 83:1--83:22
            Koffi Eddy Ihou and   
               Manar Amayri and   
                 Nizar Bouguila   Stochastic Variational Optimization of a
                                  Hierarchical Dirichlet Process Latent
                                  Beta-Liouville Topic Model . . . . . . . 84:1--84:48
        Athanasios Davvetas and   
       Iraklis A. Klampanos and   
        Spiros Skiadopoulos and   
           Vangelis Karkaletsis   Evidence Transfer: Learning Improved
                                  Representations According to External
                                  Heterogeneous Task Outcomes  . . . . . . 85:1--85:22
                Aparna S. Varde   Computational Estimation by Scientific
                                  Data Mining with Classical Methods to
                                  Automate Learning Strategies of
                                  Scientists . . . . . . . . . . . . . . . 86:1--86:52
                  Peng Zhou and   
                   Shu Zhao and   
               Yuanting Yan and   
                     Xindong Wu   Online Scalable Streaming Feature
                                  Selection via Dynamic Decision . . . . . 87:1--87:20
                   Km Pooja and   
              Samrat Mondal and   
                Joydeep Chandra   Exploiting Higher Order
                                  Multi-dimensional Relationships with
                                  Self-attention for Author Name
                                  Disambiguation . . . . . . . . . . . . . 88:1--88:23
                  Shuyu Pei and   
                    Kun Xie and   
                   Xin Wang and   
                Gaogang Xie and   
                   Kenli Li and   
                     Wei Li and   
                 Yanbiao Li and   
                     Jigang Wen   B$_h$BF: a Bloom Filter Using B$_h$
                                  Sequences for Multi-set Membership Query 89:1--89:26
                  Ling Chen and   
                     Hongyu Shi   DexDeepFM: Ensemble Diversity Enhanced
                                  Extreme Deep Factorization Machine Model 90:1--90:17
               Shikha Singh and   
          Emilie Chouzenoux and   
         Giovanni Chierchia and   
               Angshul Majumdar   Multi-label Deep Convolutional Transform
                                  Learning for Non-intrusive Load
                                  Monitoring . . . . . . . . . . . . . . . 91:1--91:6
                 Ryoma Sato and   
              Makoto Yamada and   
                Hisashi Kashima   Constant Time Graph Neural Networks  . . 92:1--92:31
              Zhaolong Ling and   
                     Kui Yu and   
                    Lin Liu and   
                 Jiuyong Li and   
                Yiwen Zhang and   
                     Xindong Wu   PSL: an Algorithm for Partial Bayesian
                                  Network Structure Learning . . . . . . . 93:1--93:25
          Ms Promila Sharma and   
                  Uma Meena and   
            Girish Kumar Sharma   Intelligent Data Analysis using
                                  Optimized Support Vector Machine Based
                                  Data Mining Approach for Tourism
                                  Industry . . . . . . . . . . . . . . . . 94:1--94:20
                Mengdi Huai and   
             Tianhang Zheng and   
              Chenglin Miao and   
                  Liuyi Yao and   
                   Aidong Zhang   On the Robustness of Metric Learning: an
                                  Adversarial Perspective  . . . . . . . . 95:1--95:25
               Zhaopeng Qiu and   
                  Yunfan Hu and   
                        Xian Wu   Graph Neural News Recommendation with
                                  User Existing and Potential Interest
                                  Modeling . . . . . . . . . . . . . . . . 96:1--96:17
                Kanika Goel and   
       Sander J. J. Leemans and   
               Niels Martin and   
                    Moe T. Wynn   Quality-Informed Process Mining: a Case
                                  for Standardised Data Quality
                                  Annotations  . . . . . . . . . . . . . . 97:1--97:47
                    Hao Liu and   
                 Qingyu Guo and   
                Hengshu Zhu and   
              Fuzhen Zhuang and   
               Shenwen Yang and   
                 Dejing Dou and   
                      Hui Xiong   Who will Win the Data Science
                                  Competition? Insights from KDD Cup 2019
                                  and Beyond . . . . . . . . . . . . . . . 98:1--98:24
      Saullo H. G. Oliveira and   
André R. Gonçalves and   
          Fernando J. Von Zuben   Asymmetric Multi-Task Learning with
                                  Local Transference . . . . . . . . . . . 99:1--99:30
                Sheng Zhong and   
       Vinicius M. A. Souza and   
                 Abdullah Mueen   Combining Filtering and
                                  Cross-Correlation Efficiently for
                                  Streaming Time Series  . . . . . . . . . 100:1--100:24

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 16, Number 6, December, 2022

              Marcel Jirina and   
                    Said Krayem   The Distance Function Optimization for
                                  the Near Neighbors-Based Classifiers . . 101:1--101:??
                 Fu Jie Tey and   
                  Tin-Yu Wu and   
               Jiann-Liang Chen   Machine Learning-based Short-term
                                  Rainfall Prediction from Sky Data  . . . 102:1--102:??
            Reem A. Mahmoud and   
                     Hazem Hajj   Multi-objective Learning to Overcome
                                  Catastrophic Forgetting in Time-series
                                  Applications . . . . . . . . . . . . . . 103:1--103:??
                Zhaobo Wang and   
                 Yanmin Zhu and   
              Qiaomei Zhang and   
                Haobing Liu and   
              Chunyang Wang and   
                       Tong Liu   Graph-Enhanced Spatial-Temporal Network
                                  for Next POI Recommendation  . . . . . . 104:1--104:??
           Sindhu Tipirneni and   
               Chandan K. Reddy   Self-Supervised Transformer for Sparse
                                  and Irregularly Sampled Multivariate
                                  Clinical Time-Series . . . . . . . . . . 105:1--105:??
                  Shilin Gu and   
                 Yuhua Qian and   
                   Chenping Hou   Incremental Feature Spaces Learning with
                                  Label Scarcity . . . . . . . . . . . . . 106:1--106:??
                     Zhe Li and   
                Chunhua Sun and   
                 Chunli Liu and   
                 Xiayu Chen and   
                  Meng Wang and   
                    Yezheng Liu   Dual-MGAN: an Efficient Approach for
                                  Semi-supervised Outlier Detection with
                                  Few Identified Anomalies . . . . . . . . 107:1--107:??
                    Yu Wang and   
              Hanghang Tong and   
                   Ziye Zhu and   
                         Yun Li   Nested Named Entity Recognition: a
                                  Survey . . . . . . . . . . . . . . . . . 108:1--108:??
               Houping Xiao and   
                     Shiyu Wang   Toward Quality of Information Aware
                                  Distributed Machine Learning . . . . . . 109:1--109:??
               Jianghui Cai and   
                Yuqing Yang and   
               Haifeng Yang and   
                 Xujun Zhao and   
                       Jing Hao   ARIS: a Noise Insensitive Data
                                  Pre-Processing Scheme for Data Reduction
                                  Using Influence Space  . . . . . . . . . 110:1--110:??
             Xiaoying Zhang and   
                   Hong Xie and   
                 John C. S. Lui   Improving Bandit Learning Via
                                  Heterogeneous Information Networks:
                                  Algorithms and Applications  . . . . . . 111:1--111:??
             Derek Desantis and   
                  Erik Skau and   
              Duc P. Truong and   
               Boian Alexandrov   Factorization of Binary Matrices: Rank
                                  Relations, Uniqueness and Model
                                  Selection of Boolean Decomposition . . . 112:1--112:??
                  Xing Yang and   
                 Chen Zhang and   
                   Baihua Zheng   Segment-Wise Time-Varying Dynamic
                                  Bayesian Network with Graph
                                  Regularization . . . . . . . . . . . . . 113:1--113:??
               Shaowei Wang and   
             Lingling Zhang and   
                   Xuan Luo and   
                    Yi Yang and   
                     Xin Hu and   
                    Tao Qin and   
                        Jun Liu   Computer Science Diagram Understanding
                                  with Topology Parsing  . . . . . . . . . 114:1--114:??
                Jun-Gi Jang and   
              Chaeheum Park and   
              Changwon Jang and   
                Geonsoo Kim and   
                        U. Kang   Finding Key Structures in MMORPG Graph
                                  with Hierarchical Graph Summarization    115:1--115:??
                Nengjun Zhu and   
                   Jian Cao and   
                Xinjiang Lu and   
               Chuanren Liu and   
                    Hao Liu and   
                  Yanyan Li and   
              Xiangfeng Luo and   
                      Hui Xiong   Predicting a Person's Next Activity
                                  Region with a Dynamic
                                  Region-Relation-Aware Graph Neural
                                  Network  . . . . . . . . . . . . . . . . 116:1--116:??
                Haoyi Xiong and   
                  Ruosi Wan and   
                  Jian Zhao and   
                  Zeyu Chen and   
                Xingjian Li and   
               Zhanxing Zhu and   
                       Jun Huan   GrOD: Deep Learning with Gradients
                                  Orthogonal Decomposition for Knowledge
                                  Transfer, Distillation, and Adversarial
                                  Training . . . . . . . . . . . . . . . . 117:1--117:??
              Maya Benarous and   
                  Eran Toch and   
                   Irad Ben-gal   Synthesis of Longitudinal Human Location
                                  Sequences: Balancing Utility and Privacy 118:1--118:??
                 Michele Coscia   Generalized Euclidean Measure to
                                  Estimate Distances on Multilayer
                                  Networks . . . . . . . . . . . . . . . . 119:1--119:??
               Ilkay Yildiz and   
                Jennifer Dy and   
             Deniz Erdogmus and   
                Susan Ostmo and   
          J. Peter Campbell and   
          Michael F. Chiang and   
              Stratis Ioannidis   Spectral Ranking Regression  . . . . . . 120:1--120:??
                   Ziyue Li and   
                    Hao Yan and   
                Fugee Tsung and   
                       Ke Zhang   Profile Decomposition Based Hybrid
                                  Transfer Learning for Cold-Start Data
                                  Anomaly Detection  . . . . . . . . . . . 121:1--121:??
                     Yue Hu and   
                      Ao Qu and   
               Yanbing Wang and   
                 Daniel B. Work   Streaming Data Preprocessing via Online
                                  Tensor Recovery for Large Environmental
                                  Sensor Networks  . . . . . . . . . . . . 122:1--122:??
                 Pengfei Ma and   
                   Youxi Wu and   
                     Yan Li and   
                    Lei Guo and   
                   He Jiang and   
               Xingquan Zhu and   
                     Xindong Wu   HW-Forest: Deep Forest with Hashing
                                  Screening and Window Screening . . . . . 123:1--123:??
        Leonardo Pellegrina and   
              Cyrus Cousins and   
               Fabio Vandin and   
                Matteo Riondato   MCRapper: Monte-Carlo Rademacher
                                  Averages for Poset Families and
                                  Approximate Pattern Mining . . . . . . . 124:1--124:??
            Alessio Bechini and   
       Alessandro Bondielli and   
José Luis Corcuera Bárcena and   
             Pietro Ducange and   
       Francesco Marcelloni and   
               Alessandro Renda   A News-Based Framework for Uncovering
                                  and Tracking City Area Profiles:
                                  Assessment in Covid-19 Setting . . . . . 125:1--125:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 17, Number 1, January, 2023

              Ting-Yun Wang and   
            Chiao-Ting Chen and   
              Ju-Chun Huang and   
                  Szu-Hao Huang   Modeling Cross-session Information with
                                  Multi-interest Graph Neural Networks for
                                  the Next-item Recommendation . . . . . . 1:1--1:??
                    Yu Wang and   
                 Chuan Chen and   
                Jinrong Lai and   
                    Lele Fu and   
                 Yuren Zhou and   
                    Zibin Zheng   A Self-Representation Method with Local
                                  Similarity Preserving for Fast
                                  Multi-View Outlier Detection . . . . . . 2:1--2:??
                    Ke Wang and   
                 Yanmin Zhu and   
                Haobing Liu and   
                Tianzi Zang and   
                  Chunyang Wang   Learning Aspect-Aware High-Order
                                  Representations from Ratings and Reviews
                                  for Recommendation . . . . . . . . . . . 3:1--3:??
                  Zan Zhang and   
                    Lin Liu and   
                 Jiuyong Li and   
                     Xindong Wu   Integrating Global and Local Feature
                                  Selection for Multi-Label Learning . . . 4:1--4:??
                 Xinye Chen and   
             Stefan Güttel   An Efficient Aggregation Method for the
                                  Symbolic Representation of Temporal Data 5:1--5:??
                     Lei Li and   
               Mengjiao Yan and   
               Zhenchao Tao and   
              Huanhuan Chen and   
                     Xindong Wu   Semi-Supervised Graph Pattern Matching
                                  and Rematching for Expert Community
                                  Location . . . . . . . . . . . . . . . . 6:1--6:??
                  Zhibin Gu and   
                    Songhe Feng   Individuality Meets Commonality: a
                                  Unified Graph Learning Framework for
                                  Multi-View Clustering  . . . . . . . . . 7:1--7:??
         Roshni Chakraborty and   
                Ritwika Das and   
                Joydeep Chandra   SigGAN: Adversarial Model for Learning
                                  Signed Relationships in Networks . . . . 8:1--8:??
                  Fuxian Li and   
                   Jie Feng and   
                   Huan Yan and   
               Guangyin Jin and   
                   Fan Yang and   
                 Funing Sun and   
                 Depeng Jin and   
                        Yong Li   Dynamic Graph Convolutional Recurrent
                                  Network for Traffic Prediction:
                                  Benchmark and Solution . . . . . . . . . 9:1--9:??
              Gengsen Huang and   
               Wensheng Gan and   
                  Jian Weng and   
                   Philip S. Yu   US-Rule: Discovering Utility-driven
                                  Sequential Rules . . . . . . . . . . . . 10:1--10:??
                 Jiapu Wang and   
                 Boyue Wang and   
                 Junbin Gao and   
                  Yongli Hu and   
                     Baocai Yin   Multi-Concept Representation Learning
                                  for Knowledge Graph Completion . . . . . 11:1--11:??
           Nishadi Kirielle and   
             Peter Christen and   
              Thilina Ranbaduge   Unsupervised Graph-Based Entity
                                  Resolution for Complex Entities  . . . . 12:1--12:??
                Soonki Kwon and   
                  Younghoon Lee   Explainability-Based Mix-Up Approach for
                                  Text Data Augmentation . . . . . . . . . 13:1--13:??
                    Qian Li and   
             Xiangmeng Wang and   
               Zhichao Wang and   
                    Guandong Xu   Be Causal: De-Biasing Social Network
                                  Confounding in Recommendation  . . . . . 14:1--14:??
                   Xiao Luo and   
                Haixin Wang and   
                  Daqing Wu and   
                 Chong Chen and   
               Minghua Deng and   
            Jianqiang Huang and   
                 Xian-Sheng Hua   A Survey on Deep Hashing Methods . . . . 15:1--15:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 17, Number 2, February, 2023

             Hung T. Nguyen and   
            Pierre J. Liang and   
                   Leman Akoglu   Detecting Anomalous Graphs in Labeled
                                  Multi-Graph Databases  . . . . . . . . . 16:1--16:??
                     Xun Lu and   
                    Songhe Feng   Structure Diversity-Induced Anchor Graph
                                  Fusion for Multi-View Clustering . . . . 17:1--17:??
                Lichen Wang and   
             Zhengming Ding and   
                  Kasey Lee and   
                Seungju Han and   
               Jae-Joon Han and   
              Changkyu Choi and   
                         Yun Fu   Generative Multi-Label Correlation
                                  Learning . . . . . . . . . . . . . . . . 18:1--18:??
                     Xun Lu and   
                Songhe Feng and   
                 Gengyu Lyu and   
                     Yi Jin and   
                   Congyan Lang   Distance-Preserving Embedding Adaptive
                                  Bipartite Graph Multi-View Learning with
                                  Application to Multi-Label
                                  Classification . . . . . . . . . . . . . 19:1--19:??
                Qianru Wang and   
                    Bin Guo and   
                   Lu Cheng and   
                  Zhiwen Yu and   
                       Huan Liu   CausalSE: Understanding Varied Spatial
                                  Effects with Missing Data Toward Adding
                                  New Bike-sharing Stations  . . . . . . . 20:1--20:??
          Carlos Ivan Jerez and   
                  Jun Zhang and   
                Marcia R. Silva   On Equivalence of Anomaly Detection
                                  Algorithms . . . . . . . . . . . . . . . 21:1--21:??
         Nikolaos M. Freris and   
           Ahmad Ajalloeian and   
               Michalis Vlachos   Interpretable Embedding and
                                  Visualization of Compressed Data . . . . 22:1--22:??
              Shaokang Wang and   
                     Li Pan and   
                          Yu Wu   Meta-Information Fusion of Hierarchical
                                  Semantics Dependency and Graph Structure
                                  for Structured Text Classification . . . 23:1--23:??
                Xuliang Zhu and   
                  Xin Huang and   
                 Longxu Sun and   
                     Jiming Liu   A Novel Graph Indexing Approach for
                                  Uncovering Potential COVID-19
                                  Transmission Clusters  . . . . . . . . . 24:1--24:??
               Adham Atyabi and   
             Frederick Shic and   
               Jiajun Jiang and   
           Claire E. Foster and   
                Erin Barney and   
                  Minah Kim and   
                  Beibin Li and   
             Pamela Ventola and   
                 Chung Hao Chen   Stratification of Children with Autism
                                  Spectrum Disorder Through Fusion of
                                  Temporal Information in Eye-gaze
                                  Scan-Paths . . . . . . . . . . . . . . . 25:1--25:??
               Hongjie Chen and   
              Ryan A. Rossi and   
              Kanak Mahadik and   
               Sungchul Kim and   
                 Hoda Eldardiry   Graph Deep Factors for Probabilistic
                                  Time-series Forecasting  . . . . . . . . 26:1--26:??
                Akshita Jha and   
             Vineeth Rakesh and   
      Jaideep Chandrashekar and   
          Adithya Samavedhi and   
               Chandan K. Reddy   Supervised Contrastive Learning for
                                  Interpretable Long-Form Document
                                  Matching . . . . . . . . . . . . . . . . 27:1--27:??
            Catalina Vajiac and   
             Meng-Chieh Lee and   
        Aayushi Kulshrestha and   
                 Sacha Levy and   
               Namyong Park and   
     Andreas Olligschlaeger and   
                 Cara Jones and   
           Reihaneh Rabbany and   
             Christos Faloutsos   DeltaShield: Information Theory for
                                  Human- Trafficking Detection . . . . . . 28:1--28:??
                Jianhui Sun and   
                  Ying Yang and   
                Guangxu Xun and   
                   Aidong Zhang   Scheduling Hyperparameters to Improve
                                  Generalization: From Centralized SGD to
                                  Asynchronous SGD . . . . . . . . . . . . 29:1--29:??
                Xiaoye Miao and   
              Huanhuan Peng and   
                 Yunjun Gao and   
               Zongfu Zhang and   
                    Jianwei Yin   On Dynamically Pricing Crowdsourcing
                                  Tasks  . . . . . . . . . . . . . . . . . 30:1--30:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 17, Number 3, April, 2023

    Barakeel Fanseu Kamhoua and   
                  Lin Zhang and   
                   Kaili Ma and   
                James Cheng and   
                      Bo Li and   
                         Bo Han   GRACE: a General Graph Convolution
                                  Framework for Attributed Graph
                                  Clustering . . . . . . . . . . . . . . . 31:1--31:??
              Penglong Zhai and   
                   Shihua Zhang   Learnable Graph-Regularization for
                                  Matrix Decomposition . . . . . . . . . . 32:1--32:??
                Jinwei Chen and   
                Zefang Zong and   
              Yunlin Zhuang and   
                   Huan Yan and   
                 Depeng Jin and   
                        Yong Li   Reinforcement Learning for Practical
                                  Express Systems with Mixed Deliveries
                                  and Pickups  . . . . . . . . . . . . . . 33:1--33:??
                   Tao Feng and   
                 Sirui Song and   
                   Tong Xia and   
                        Yong Li   Contact Tracing and Epidemic
                                  Intervention via Deep Reinforcement
                                  Learning . . . . . . . . . . . . . . . . 34:1--34:??
               Mingyang Wan and   
                Daochen Zha and   
                Ninghao Liu and   
                         Na Zou   In-Processing Modeling Techniques for
                                  Machine Learning Fairness: a Survey  . . 35:1--35:??
                 Qiang Long and   
               Adil Bagirov and   
                Sona Taheri and   
           Nargiz Sultanova and   
                         Xue Wu   Methods and Applications of Clusterwise
                                  Linear Regression: a Survey and
                                  Comparison . . . . . . . . . . . . . . . 36:1--36:??
                   Youxi Wu and   
               Mingjie Chen and   
                     Yan Li and   
                   Jing Liu and   
                    Zhao Li and   
                  Jinyan Li and   
                     Xindong Wu   ONP-Miner: One-off Negative Sequential
                                  Pattern Mining . . . . . . . . . . . . . 37:1--37:??
         Vincenza Carchiolo and   
              Marco Grassia and   
         Alessandro Longheu and   
            Michele Malgeri and   
              Giuseppe Mangioni   Efficient Node PageRank Improvement via
                                  Link-building using Geometric Deep
                                  Learning . . . . . . . . . . . . . . . . 38:1--38:??
                Linli Jiang and   
            Chao-Xiong Chen and   
                      Chao Chen   L2MM: Learning to Map Matching with Deep
                                  Models for Low-Quality GPS Trajectory
                                  Data . . . . . . . . . . . . . . . . . . 39:1--39:??
               Yihong Zhang and   
                  Takahiro Hara   Explainable Integration of Social Media
                                  Background in a Dynamic Neural
                                  Recommender  . . . . . . . . . . . . . . 40:1--40:??
                Yashen Wang and   
                Zhaoyu Wang and   
             Huanhuan Zhang and   
                     Zhirun Liu   Microblog Retrieval Based on
                                  Concept-Enhanced Pre-Training Model  . . 41:1--41:??
                 Xuemei Wei and   
                Yezheng Liu and   
               Jianshan Sun and   
             Yuanchun Jiang and   
                Qifeng Tang and   
                       Kun Yuan   Dual Subgraph-Based Graph Neural Network
                                  for Friendship Prediction in
                                  Location-Based Social Networks . . . . . 42:1--42:??
                  Xin Jiang and   
                Zhengxin Yu and   
                   Chao Hai and   
                 Hongbo Liu and   
                 Xindong Wu and   
                     Tomas Ward   DNformer: Temporal Link Prediction with
                                  Transfer Learning in Dynamic Networks    43:1--43:??
             Aliya Aleryani and   
              Aaron Bostrom and   
                Wenjia Wang and   
                Beatriz Iglesia   Multiple Imputation Ensembles for Time
                                  Series (MIE-TS)  . . . . . . . . . . . . 44:1--44:??
                 Dongjie Li and   
                    Dong Li and   
                     Guang Lian   Variational Graph Autoencoder with
                                  Adversarial Mutual Information Learning
                                  for Network Representation Learning  . . 45:1--45:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 17, Number 4, May, 2023

                Gongqing Wu and   
              Liangzhu Zhou and   
                 Jiazhu Xia and   
                     Lei Li and   
                 Xianyu Bao and   
                     Xindong Wu   Crowdsourcing Truth Inference Based on
                                  Label Confidence Clustering  . . . . . . 46:1--46:??
               Dhruv Sehnan and   
                  Vasu Goel and   
                Sarah Masud and   
                Chhavi Jain and   
               Vikram Goyal and   
             Tanmoy Chakraborty   DiVA: a Scalable, Interactive and
                                  Customizable Visual Analytics Platform
                                  for Information Diffusion on Large
                                  Networks . . . . . . . . . . . . . . . . 47:1--47:??
                 Jinlong E. and   
                      Mo Li and   
                Jianqiang Huang   CrowdAtlas: Estimating Crowd
                                  Distribution within the Urban Rail
                                  Transit System . . . . . . . . . . . . . 48:1--48:??
                   Lei Yang and   
              Jiaming Huang and   
                  Wanyu Lin and   
                   Jiannong Cao   Personalized Federated Learning on
                                  Non-IID Data via Group-based
                                  Meta-learning  . . . . . . . . . . . . . 49:1--49:??
            Judith Hermanns and   
       Konstantinos Skitsas and   
            Anton Tsitsulin and   
           Marina Munkhoeva and   
           Alexander Kyster and   
              Simon Nielsen and   
     Alexander M. Bronstein and   
              Davide Mottin and   
              Panagiotis Karras   GRASP: Scalable Graph Alignment by
                                  Spectral Corresponding Functions . . . . 50:1--50:??
            Kazuki Nakajima and   
                 Kazuyuki Shudo   Random Walk Sampling in Social Networks
                                  Involving Private Nodes  . . . . . . . . 51:1--51:??
             Changjian Shui and   
               William Wang and   
               Ihsen Hedhli and   
               Chi Man Wong and   
                   Feng Wan and   
                  Boyu Wang and   
         Christian Gagné   Lifelong Online Learning from
                                  Accumulated Knowledge  . . . . . . . . . 52:1--52:??
                Shaojie Dai and   
              Jinshuai Wang and   
                 Chao Huang and   
                  Yanwei Yu and   
                     Junyu Dong   Dynamic Multi-View Graph Neural Networks
                                  for Citywide Traffic Inference . . . . . 53:1--53:??
                 Shuai Ling and   
                     Zhe Yu and   
              Shaosheng Cao and   
              Haipeng Zhang and   
                       Simon Hu   STHAN: Transportation Demand Forecasting
                                  with Compound Spatio-Temporal
                                  Relationships  . . . . . . . . . . . . . 54:1--54:??
                Jiaying Liu and   
                   Feng Xia and   
                   Jing Ren and   
                      Bo Xu and   
              Guansong Pang and   
                    Lianhua Chi   MIRROR: Mining Implicit Relationships
                                  via Structure-Enhanced Graph
                                  Convolutional Networks . . . . . . . . . 55:1--55:??
                    Zhi Liu and   
                  Yang Chen and   
                   Feng Xia and   
                 Jixin Bian and   
                   Bing Zhu and   
              Guojiang Shen and   
                  Xiangjie Kong   TAP: Traffic Accident Profiling via
                                  Multi-Task Spatio-Temporal Graph
                                  Representation Learning  . . . . . . . . 56:1--56:??
                   Lei Chen and   
                    Jie Cao and   
               Haicheng Tao and   
                         Jia Wu   Trip Reinforcement Recommendation with
                                  Graph-based Representation Learning  . . 57:1--57:??
               Huiming Chen and   
              Huandong Wang and   
               Quanming Yao and   
                    Yong Li and   
                 Depeng Jin and   
                     Qiang Yang   LoSAC: an Efficient Local Stochastic
                                  Average Control Method for Federated
                                  Optimization . . . . . . . . . . . . . . 58:1--58:??
              Mengyuan Jing and   
                 Yanmin Zhu and   
                   Yanan Xu and   
                Haobing Liu and   
                Tianzi Zang and   
              Chunyang Wang and   
                       Jiadi Yu   Learning Shared Representations for
                                  Recommendation with Dynamic
                                  Heterogeneous Graph Convolutional
                                  Networks . . . . . . . . . . . . . . . . 59:1--59:??
                Yizong Wang and   
                  Dong Zhao and   
                  Yajie Ren and   
              Desheng Zhang and   
                     Huadong Ma   SPAP: Simultaneous Demand Prediction and
                                  Planning for Electric Vehicle Chargers
                                  in a New City  . . . . . . . . . . . . . 60:1--60:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 17, Number 5, June, 2023

                 Dandan Lin and   
          Victor Junqiu Wei and   
          Raymond Chi-Wing Wong   Effective and Scalable Manifold
                                  Ranking-Based Image Retrieval with
                                  Output Bound . . . . . . . . . . . . . . 61:1--61:??
                  Peng Zhou and   
                Xinwang Liu and   
                   Liang Du and   
                      Xuejun Li   Self-paced Adaptive Bipartite Graph
                                  Learning for Consensus Clustering  . . . 62:1--62:??
                 Mengran Li and   
                 Yong Zhang and   
                Xiaoyong Li and   
               Yuchen Zhang and   
                     Baocai Yin   Hypergraph Transformer Neural Networks   63:1--63:??
                  Haoran Li and   
                Zhiqiang Lv and   
                  Jianbo Li and   
                  Zhihao Xu and   
                   Yue Wang and   
                 Haokai Sun and   
                   Zhaoyu Sheng   Traffic Flow Forecasting in the
                                  COVID-19: a Deep Spatial-temporal Model
                                  Based on Discrete Wavelet Transformation 64:1--64:??
                Gongqing Wu and   
               Xingrui Zhuo and   
                 Xianyu Bao and   
                 Xuegang Hu and   
               Richang Hong and   
                     Xindong Wu   Crowdsourcing Truth Inference via
                                  Reliability-Driven Multi-View Graph
                                  Embedding  . . . . . . . . . . . . . . . 65:1--65:??
                Jun-Gi Jang and   
                        U. Kang   Static and Streaming Tucker
                                  Decomposition for Dense Tensors  . . . . 66:1--66:??
                  Meng Wang and   
                    Boyu Li and   
                     Kun He and   
                  John Hopcroft   Uncovering the Local Hidden Community
                                  Structure in Social Networks . . . . . . 67:1--67:??
                    Hao Liu and   
                 Qingyu Guo and   
                Hengshu Zhu and   
                  Yanjie Fu and   
              Fuzhen Zhuang and   
                Xiaojuan Ma and   
                      Hui Xiong   Characterizing and Forecasting Urban
                                  Vibrancy Evolution: a Multi-View Graph
                                  Mining Perspective . . . . . . . . . . . 68:1--68:??
                 Yuyang Ren and   
               Haonan Zhang and   
                    Peng Yu and   
                   Luoyi Fu and   
                  Xinde Cao and   
               Xinbing Wang and   
                Guihai Chen and   
                   Fei Long and   
                   Chenghu Zhou   Ada-MIP: Adaptive Self-supervised Graph
                                  Representation Learning via Mutual
                                  Information and Proximity Optimization   69:1--69:??
                  Zhibin Gu and   
                Songhe Feng and   
                 Ruiting Hu and   
                     Gengyu Lyu   ONION: Joint Unsupervised Feature
                                  Selection and Robust Subspace Extraction
                                  for Graph-based Multi-View Clustering    70:1--70:??
               Zhijie Zhang and   
                Wenzhong Li and   
             Wangxiang Ding and   
              Linming Zhang and   
                Qingning Lu and   
                    Peng Hu and   
                   Tong Gui and   
                      Sanglu Lu   STAD-GAN: Unsupervised Anomaly Detection
                                  on Multivariate Time Series with
                                  Self-training Generative Adversarial
                                  Networks . . . . . . . . . . . . . . . . 71:1--71:??
                 Hongxin Wu and   
                   Meng Han and   
              Zhiqiang Chen and   
                  Muhang Li and   
                   Xilong Zhang   A Weighted Ensemble Classification
                                  Algorithm Based on Nearest Neighbors for
                                  Multi-Label Data Stream  . . . . . . . . 72:1--72:??
               Chunnan Wang and   
               Kaixin Zhang and   
               Hongzhi Wang and   
                    Bozhou Chen   Auto-STGCN: Autonomous Spatial-Temporal
                                  Graph Convolutional Network Search . . . 73:1--73:??
                  Yufu Chen and   
                Yanghui Rao and   
                Shurui Chen and   
                  Zhiqi Lei and   
                 Haoran Xie and   
          Raymond Y. K. Lau and   
                       Jian Yin   Semi-Supervised Sentiment Classification
                                  and Emotion Distribution Learning Across
                                  Domains  . . . . . . . . . . . . . . . . 74:1--74:??
                   Hui Tang and   
                  Xun Liang and   
                  Yuhui Guo and   
            Xiangping Zheng and   
                      Bo Wu and   
               Sensen Zhang and   
                     Zhiying Li   Diffuse and Smooth: Beyond Truncated
                                  Receptive Field for Scalable and
                                  Adaptive Graph Representation Learning   75:1--75:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 17, Number 6, July, 2023

                   Xiao Liu and   
                  Bonan Gao and   
             Basem Suleiman and   
                    Han You and   
                    Zisu Ma and   
                     Yu Liu and   
                    Ali Anaissi   Privacy-Preserving Personalized Fitness
                                  Recommender System P$^3$FitRec: a
                                  Multi-level Deep Learning Approach . . . 76:1--76:??
                   Jie Yang and   
               Zhixiao Wang and   
                Xiaobin Rui and   
                 Yahui Chai and   
               Philip S. Yu and   
                     Lichao Sun   Triadic Closure Sensitive Influence
                                  Maximization . . . . . . . . . . . . . . 77:1--77:??
              Cyrus Cousins and   
           Chloe Wohlgemuth and   
                Matteo Riondato   Bavarian: Betweenness Centrality
                                  Approximation with Variance-aware
                                  Rademacher Averages  . . . . . . . . . . 78:1--78:??
           Zeinab S. Jalali and   
                 Qilan Chen and   
        Shwetha M. Srikanta and   
              Weixiang Wang and   
              Myunghwan Kim and   
              Hema Raghavan and   
            Sucheta Soundarajan   Fairness of Information Flow in Social
                                  Networks . . . . . . . . . . . . . . . . 79:1--79:??
                   Yunyi Li and   
               Yongjing Hao and   
              Pengpeng Zhao and   
               Guanfeng Liu and   
                 Yanchi Liu and   
            Victor S. Sheng and   
                  Xiaofang Zhou   Edge-enhanced Global Disentangled Graph
                                  Neural Network for Sequential
                                  Recommendation . . . . . . . . . . . . . 80:1--80:??
                Wenjie Feng and   
               Shenghua Liu and   
                    Xueqi Cheng   Hierarchical Dense Pattern Detection in
                                  Tensors  . . . . . . . . . . . . . . . . 81:1--81:??
              Jingmin Huang and   
                 Bowei Chen and   
                    Zhi Yan and   
                 Iadh Ounis and   
                       Jun Wang   GEO: a Computational Design Framework
                                  for Automotive Exterior Facelift . . . . 82:1--82:??
            Karandeep Singh and   
               Seungeon Lee and   
    Giuseppe (Joe) Labianca and   
        Jesse Michael Fagan and   
                   Meeyoung Cha   Multi-Stage Machine Learning Model for
                                  Hierarchical Tie Valence Prediction  . . 83:1--83:??
                  Sixing Su and   
                Jiewen Guan and   
                Bilian Chen and   
                      Xin Huang   Nonnegative Matrix Factorization Based
                                  on Node Centrality for Community
                                  Detection  . . . . . . . . . . . . . . . 84:1--84:??
               Yuxiang Wang and   
                    Jun Liu and   
               Xiaoliang Xu and   
                 Xiangyu Ke and   
                Tianxing Wu and   
                   Xiaoxuan Gou   Efficient and Effective Academic Expert
                                  Finding on Heterogeneous Graphs through
                                  $ (k, P) $-Core based Embedding  . . . . 85:1--85:??
               Yongjie Wang and   
                    Ke Wang and   
                 Cheng Long and   
                   Chunyan Miao   Summarizing User-item Matrix By Group
                                  Utility Maximization . . . . . . . . . . 86:1--86:??
                  Peikun Ni and   
               Jianming Zhu and   
                   Guoqing Wang   Misinformation Blocking Problem in
                                  Virtual and Real Interconversion Social
                                  Networks . . . . . . . . . . . . . . . . 87:1--87:??
                 Jinjun Ren and   
                Yuping Wang and   
                     Xiyan Deng   Slack-Factor-Based Fuzzy Support Vector
                                  Machine for Class Imbalance Problems . . 88:1--88:??
                     Lei Li and   
                Zhiyuan Liu and   
                  Zan Zhang and   
              Huanhuan Chen and   
                     Xindong Wu   Three-way Preference Completion via
                                  Preference Graph . . . . . . . . . . . . 89:1--89:??
     Rashid Hussain Khokhar and   
        Benjamin C. M. Fung and   
             Farkhund Iqbal and   
         Khalil Al-Hussaeni and   
               Mohammed Hussain   Differentially Private Release of
                                  Heterogeneous Network for Managing
                                  Healthcare Data  . . . . . . . . . . . . 90:1--90:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 17, Number 7, August, 2023

                 Mimi Zhang and   
                 Andrew Parnell   Review of Clustering Methods for
                                  Functional Data  . . . . . . . . . . . . 91:1--91:??
                  Ling Chen and   
                 Dandan Lyu and   
                Shanshan Yu and   
                    Gencai Chen   Multi-Level Visual Similarity Based
                                  Personalized Tourist Attraction
                                  Recommendation Using Geo-Tagged Photos   92:1--92:??
                  Wanyue Xu and   
                 Zhongzhi Zhang   Optimal Scale-Free Small-World Graphs
                                  with Minimum Scaling of Cover Time . . . 93:1--93:??
                Paras Sheth and   
               Ruocheng Guo and   
                   Lu Cheng and   
                   Huan Liu and   
     Kasim Selçuk Candan   Causal Disentanglement for Implicit
                                  Recommendations with Network Information 94:1--94:??
               Yihong Zhang and   
             Xiu Susie Fang and   
                  Takahiro Hara   Evolving Social Media Background
                                  Representation with Frequency Weights
                                  and Co-Occurrence Graphs . . . . . . . . 95:1--95:??
                   Huiru Li and   
            Liangxiao Jiang and   
                     Siqing Xue   Neighborhood Weighted Voting-Based Noise
                                  Correction for Crowdsourcing . . . . . . 96:1--96:??
                      He Li and   
                    Duo Jin and   
                 Xuejiao Li and   
              Jianbin Huang and   
                  Xiaoke Ma and   
               Jiangtao Cui and   
             Deshuang Huang and   
               Shaojie Qiao and   
                     Jaesoo Yoo   DMGF-Net: an Efficient Dynamic
                                  Multi-Graph Fusion Network for Traffic
                                  Prediction . . . . . . . . . . . . . . . 97:1--97:??
               Boxiang Zhao and   
              Shuliang Wang and   
                Lianhua Chi and   
                      Qi Li and   
                Xiaojia Liu and   
                      Jing Geng   Causal Discovery via Causal Star Graphs  98:1--98:??
                Dexian Wang and   
                 Tianrui Li and   
                  Ping Deng and   
                  Fan Zhang and   
                  Wei Huang and   
              Pengfei Zhang and   
                        Jia Liu   A Generalized Deep Learning Clustering
                                  Algorithm Based on Non-Negative Matrix
                                  Factorization  . . . . . . . . . . . . . 99:1--99:??
         Tarun Kumer Biswas and   
             Alireza Abbasi and   
       Ripon Kumar Chakrabortty   Robust Influence Maximization Under Both
                                  Aleatory and Epistemic Uncertainty . . . 100:1--100:??
                  Yuhui Guo and   
                  Xun Liang and   
                      Bo Wu and   
            Xiangping Zheng and   
                     Xuan Zhang   Dual-aware Domain Mining and Cross-aware
                                  Supervision for Weakly-supervised
                                  Semantic Segmentation  . . . . . . . . . 101:1--101:??
               Jiezhu Cheng and   
               Kaizhu Huang and   
                    Zibin Zheng   Fitting Imbalanced Uncertainties in
                                  Multi-output Time Series Forecasting . . 102:1--102:??
               Xuanqi Zhang and   
            Qiangqiang Shen and   
              Yongyong Chen and   
               Guokai Zhang and   
               Zhongyun Hua and   
                    Jingyong Su   Multi-view Ensemble Clustering via
                                  Low-rank and Sparse Decomposition: From
                                  Matrix to Tensor . . . . . . . . . . . . 103:1--103:??
               Sensen Zhang and   
                  Xun Liang and   
                   Hui Tang and   
            Xiangping Zheng and   
              Alex X. Zhang and   
                     Yuefeng Ma   DuCape: Dual Quaternion and Capsule
                                  Network-Based Temporal Knowledge Graph
                                  Embedding  . . . . . . . . . . . . . . . 104:1--104:??
                   Hao Wang and   
                    Bin Guo and   
                  Jiaqi Liu and   
                 Yasan Ding and   
                      Zhiwen Yu   Towards Informative and Diverse Dialogue
                                  Systems Over Hierarchical Crowd
                                  Intelligence Knowledge Graph . . . . . . 105:1--105:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 17, Number 8, September, 2023

              Mohamed Ragab and   
          Emadeldeen Eldele and   
               Wee Ling Tan and   
            Chuan-Sheng Foo and   
              Zhenghua Chen and   
                     Min Wu and   
            Chee-Keong Kwoh and   
                      Xiaoli Li   ADATIME: a Benchmarking Suite for Domain
                                  Adaptation on Time Series Data . . . . . 106:1--106:??
               Ben Halstead and   
               Yun Sing Koh and   
            Patricia Riddle and   
         Mykola Pechenizkiy and   
                   Albert Bifet   Combining Diverse Meta-Features to
                                  Accurately Identify Recurring Concept
                                  Drift in Data Streams  . . . . . . . . . 107:1--107:??
                 Linrui Shi and   
                Zheng Zhang and   
                  Zizhu Fan and   
                    Chao Xi and   
               Zhengming Li and   
                    Gaochang Wu   Kernel Fisher Dictionary Transfer
                                  Learning . . . . . . . . . . . . . . . . 108:1--108:??
                   Heli Sun and   
               Miaomiao Sun and   
                Xuechun Liu and   
                 Linlin Zhu and   
                   Liang He and   
                Xiaolin Jia and   
                      Yuan Chen   Graph Neural Networks with Motisf-aware
                                  for Tenuous Subgraph Finding . . . . . . 109:1--109:??
                  Likang Wu and   
                Hongke Zhao and   
                     Zhi Li and   
               Zhenya Huang and   
                     Qi Liu and   
                    Enhong Chen   Learning the Explainable Semantic
                                  Relations via Unified Graph
                                  Topic-Disentangled Neural Networks . . . 110:1--110:??
                  Bohan Jia and   
                   Jian Cao and   
                Shiyou Qian and   
                Nengjun Zhu and   
                   Xin Dong and   
                Liang Zhang and   
                  Lei Cheng and   
                     Linjian Mo   SMONE: a Session-based Recommendation
                                  Model Based on Neighbor Sessions with
                                  Similar Probabilistic Intentions . . . . 111:1--111:??
         Zohair Raza Hassan and   
                 Sarwan Ali and   
            Imdadullah Khan and   
           Mudassir Shabbir and   
                   Waseem Abbas   Computing Graph Descriptors on Edge
                                  Streams  . . . . . . . . . . . . . . . . 112:1--112:??
            Gerardo Canfora and   
         Francesco Mercaldo and   
              Antonella Santone   A Novel Classification Technique based
                                  on Formal Methods  . . . . . . . . . . . 113:1--113:??
                    Bei Lin and   
                     You Li and   
                   Ning Gui and   
                Zhuopeng Xu and   
                       Zhiwu Yu   Multi-view Graph Representation Learning
                                  Beyond Homophily . . . . . . . . . . . . 114:1--114:??
       Etienne Gael Tajeuna and   
          Mohamed Bouguessa and   
                  Shengrui Wang   Modeling Regime Shifts in Multiple Time
                                  Series . . . . . . . . . . . . . . . . . 115:1--115:??
                    Dan Shi and   
                    Lei Zhu and   
                  Xiao Dong and   
               Xuemeng Song and   
                Jingjing Li and   
                  Zhiyong Cheng   Adaptive Collaborative Soft Label
                                  Learning for Unsupervised Multi-View
                                  Feature Selection  . . . . . . . . . . . 116:1--116:??
                  Hao Zhang and   
                  Yewei Xia and   
                  Kun Zhang and   
              Shuigeng Zhou and   
                    Jihong Guan   Conditional Independence Test Based on
                                  Residual Similarity  . . . . . . . . . . 117:1--117:??
                Junkun Yuan and   
                      Xu Ma and   
              Ruoxuan Xiong and   
              Mingming Gong and   
                Xiangyu Liu and   
                     Fei Wu and   
                 Lanfen Lin and   
                      Kun Kuang   Instrumental Variable-Driven Domain
                                  Generalization with Unobserved
                                  Confounders  . . . . . . . . . . . . . . 118:1--118:??
                     Xi Qin and   
                Cheng Zhong and   
                  Hai Xiang Lin   Community-Based Influence Maximization
                                  Using Network Embedding in Dynamic
                                  Heterogeneous Social Networks  . . . . . 119:1--119:??
               Jiabo Zhuang and   
               Shunmei Meng and   
                 Jing Zhang and   
                Victor S. Sheng   Contrastive Learning Based Graph
                                  Convolution Network for Social
                                  Recommendation . . . . . . . . . . . . . 120:1--120:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 17, Number 9, November, 2023

                Liang Zhang and   
                     Cheng Long   Road Network Representation Learning: a
                                  Dual Graph-based Approach  . . . . . . . 121:1--121:??
                 Tahir Syed and   
                   Behroz Mirza   Self-supervision for Tabular Data by
                                  Learning to Predict Additive
                                  Homoskedastic Gaussian Noise as Pretext  122:1--122:??
                  Xiaona Li and   
                   Zhu Wang and   
               Xindong Chen and   
                    Bin Guo and   
                      Zhiwen Yu   A Hybrid Continuous-Time Dynamic Graph
                                  Representation Learning Model by
                                  Exploring Both Temporal and Repetitive
                                  Information  . . . . . . . . . . . . . . 123:1--123:??
                  Junjie Ou and   
                Haiming Jin and   
             Xiaocheng Wang and   
                  Hao Jiang and   
               Xinbing Wang and   
                   Chenghu Zhou   STA-TCN: Spatial-temporal Attention over
                                  Temporal Convolutional Network for Next
                                  Point-of-interest Recommendation . . . . 124:1--124:??
              Shaowei Jiang and   
                     Wei He and   
                 Lizhen Cui and   
                 Yonghui Xu and   
                        Lei Liu   Modeling Long- and Short-Term User
                                  Preferences via Self-Supervised Learning
                                  for Next POI Recommendation  . . . . . . 125:1--125:??
                Jun-Gi Jang and   
               Sooyeon Shim and   
              Vladimir Egay and   
                Jeeyong Lee and   
               Jongmin Park and   
                Suhyun Chae and   
                        U. Kang   Accurate Open-Set Recognition for Memory
                                  Workload . . . . . . . . . . . . . . . . 126:1--126:??
                   Meng Qin and   
              Chaorui Zhang and   
                     Bo Bai and   
                 Gong Zhang and   
                  Dit-Yan Yeung   Towards a Better Tradeoff between
                                  Quality and Efficiency of Community
                                  Detection: an Inductive Embedding Method
                                  across Graphs  . . . . . . . . . . . . . 127:1--127:??
                Haoran Chen and   
                    Xu Chen and   
                Hongwei Tao and   
                    Zuhe Li and   
                      Xiao Wang   Low-rank Representation with Adaptive
                                  Dimensionality Reduction via Manifold
                                  Optimization for Clustering  . . . . . . 128:1--128:??
                     Ye Liu and   
                     Han Wu and   
               Zhenya Huang and   
                   Hao Wang and   
                Yuting Ning and   
                 Jianhui Ma and   
                     Qi Liu and   
                    Enhong Chen   TechPat: Technical Phrase Extraction for
                                  Patent Mining  . . . . . . . . . . . . . 129:1--129:??
              Chunyang Wang and   
                 Yanmin Zhu and   
                Haobing Liu and   
                Tianzi Zang and   
                    Ke Wang and   
                       Jiadi Yu   Multifaceted Relation-aware
                                  Meta-learning with Dual Customization
                                  for User Cold-start Recommendation . . . 130:1--130:??
                  Zhiwen Yu and   
               Minling Dang and   
                  Qilong Wu and   
                Liming Chen and   
                  Yujin Xie and   
                    Yu Wang and   
                        Bin Guo   An Information Theory Based Method for
                                  Quantifying the Predictability of Human
                                  Mobility . . . . . . . . . . . . . . . . 131:1--131:??
            Maryam Ramezani and   
             Aryan Ahadinia and   
   Amirmohammad Ziaei Bideh and   
                Hamid R. Rabiee   Joint Inference of Diffusion and
                                  Structure in Partially Observed Social
                                  Networks Using Coupled Matrix
                                  Factorization  . . . . . . . . . . . . . 132:1--132:??
                   Yandi Li and   
                  Haobo Gao and   
                Yunxuan Gao and   
              Jianxiong Guo and   
                       Weili Wu   A Survey on Influence Maximization: From
                                  an ML-Based Combinatorial Optimization   133:1--133:??
                  Zan Zhang and   
                  Zhe Zhang and   
                  Jialu Yao and   
                    Lin Liu and   
                 Jiuyong Li and   
                Gongqing Wu and   
                     Xindong Wu   Multi-Label Feature Selection Via
                                  Adaptive Label Correlation Estimation    134:1--134:??
                 Siyuan Ren and   
                    Bin Guo and   
                      Ke Li and   
                Qianru Wang and   
                Qinfen Wang and   
                      Zhiwen Yu   CoupledGT: Coupled Geospatial-temporal
                                  Data Modeling for Air Quality Prediction 135:1--135:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 18, Number 1, January, 2024

                   Youru Li and   
               Zhenfeng Zhu and   
                 Xiaobo Guo and   
               Shaoshuai Li and   
                Yuchen Yang and   
                       Yao Zhao   HGV4Risk: Hierarchical Global
                                  View-guided Sequence Representation
                                  Learning for Risk Prediction . . . . . . 1:1--1:??
             Daichi Amagata and   
                  Takahiro Hara   Efficient Density-peaks Clustering
                                  Algorithms on Static and Dynamic Data in
                                  Euclidean Space  . . . . . . . . . . . . 2:1--2:??
                Jiewen Deng and   
              Jinliang Deng and   
                     Du Yin and   
                Renhe Jiang and   
                      Xuan Song   TTS-Norm: Forecasting Tensor Time Series
                                  via Multi-Way Normalization  . . . . . . 3:1--3:??
            Alejandro Moreo and   
           Manuel Francisco and   
            Fabrizio Sebastiani   Multi-Label Quantification . . . . . . . 4:1--4:??
              Chunkai Zhang and   
                Yuting Yang and   
                   Zilin Du and   
               Wensheng Gan and   
                   Philip S. Yu   HUSP-SP: Faster Utility Mining on
                                  Sequence Data  . . . . . . . . . . . . . 5:1--5:??
             Zhaoliang Chen and   
                    Lele Fu and   
               Shunxin Xiao and   
               Shiping Wang and   
              Claudia Plant and   
                   Wenzhong Guo   Multi-View Graph Convolutional Networks
                                  with Differentiable Node Selection . . . 6:1--6:??
               Fangyuan Luo and   
                     Jun Wu and   
                       Tao Wang   Discrete Listwise Content-aware
                                  Recommendation . . . . . . . . . . . . . 7:1--7:??
                 Huiyuan Li and   
                      Li Yu and   
                     Xi Niu and   
               Youfang Leng and   
                       Qihan Du   Sequential and Graphical Cross-Domain
                                  Recommendations with a Multi-View
                                  Hierarchical Transfer Gate . . . . . . . 8:1--8:??
                Weiming Mai and   
              Jiangchao Yao and   
                  Gong Chen and   
                   Ya Zhang and   
            Yiu-Ming Cheung and   
                         Bo Han   Server-Client Collaborative Distillation
                                  for Federated Reinforcement Learning . . 9:1--9:??
                     Yao Wu and   
                   Jian Cao and   
                    Guandong Xu   Fairness in Recommender Systems:
                                  Evaluation Approaches and Assurance
                                  Strategies . . . . . . . . . . . . . . . 10:1--10:??
                  Huan Wang and   
                Guoquan Liu and   
                          Po Hu   TDAN: Transferable Domain Adversarial
                                  Network for Link Prediction in
                                  Heterogeneous Social Networks  . . . . . 11:1--11:??
             Silvia Corbara and   
            Alejandro Moreo and   
            Fabrizio Sebastiani   Same or Different? Diff-Vectors for
                                  Authorship Analysis  . . . . . . . . . . 12:1--12:??
             Jincheng Huang and   
                    Ping Li and   
                  Rui Huang and   
                    Na Chen and   
                    Acong Zhang   Revisiting the Role of Heterophily in
                                  Graph Representation Learning: an Edge
                                  Classification Perspective . . . . . . . 13:1--13:??
                   Xiao Luo and   
                  Daqing Wu and   
                  Yiyang Gu and   
                 Chong Chen and   
                 Luchen Liu and   
                  Jinwen Ma and   
                 Ming Zhang and   
               Minghua Deng and   
            Jianqiang Huang and   
                 Xian-Sheng Hua   Criterion-based Heterogeneous
                                  Collaborative Filtering for
                                  Multi-behavior Implicit Recommendation   14:1--14:??
                Huiting Liu and   
                   Yu Zhang and   
                  Peipei Li and   
                 Cheng Qian and   
                  Peng Zhao and   
                     Xindong Wu   DeepCPR: Deep Path Reasoning Using
                                  Sequence of User-Preferred Attributes
                                  for Conversational Recommendation  . . . 15:1--15:??
               Qiuyue Zhang and   
              Yunfeng Zhang and   
               Xunxiang Yao and   
                 Shilong Li and   
              Caiming Zhang and   
                      Peide Liu   A Dynamic Attributes-driven Graph
                                  Attention Network Modeling on Behavioral
                                  Finance for Stock Prediction . . . . . . 16:1--16:??
            Anjan Chowdhury and   
          Sriram Srinivasan and   
          Animesh Mukherjee and   
          Sanjukta Bhowmick and   
                   Kuntal Ghosh   Improving Node Classification Accuracy
                                  of GNN through Input and Output
                                  Intervention . . . . . . . . . . . . . . 17:1--17:??
                Ke-Jia Chen and   
                Linsong Liu and   
                Linpu Jiang and   
                 Jingqiang Chen   Self-Supervised Dynamic Graph
                                  Representation Learning via Temporal
                                  Subgraph Contrast  . . . . . . . . . . . 18:1--18:??
                    Yan Sun and   
                     Yi Han and   
                     Jicong Fan   Laplacian-based Cluster-Contractive
                                  $t$-SNE for High-Dimensional Data
                                  Visualization  . . . . . . . . . . . . . 19:1--19:??
               Yong-Feng Ge and   
              Elisa Bertino and   
                   Hua Wang and   
                  Jinli Cao and   
                  Yanchun Zhang   Distributed Cooperative Coevolution of
                                  Data Publishing Privacy and Transparency 20:1--20:??
             Sofia Strukova and   
José A. Ruipérez-Valiente and   
Félix Gómez Mármol   Adapting Knowledge Inference Algorithms
                                  to Measure Geometry Competencies through
                                  a Puzzle Game  . . . . . . . . . . . . . 21:1--21:??
                     Bo Liu and   
               Liangjiao Li and   
               Yanshan Xiao and   
                   Kai Wang and   
                    Jian Hu and   
                 Junrui Liu and   
                Qihang Chen and   
                 Ruiguang Huang   An Efficient Transfer Learning Method
                                  with Auxiliary Information . . . . . . . 22:1--22:??
                   Zhong Li and   
                 Yuxuan Zhu and   
           Matthijs Van Leeuwen   A Survey on Explainable Anomaly
                                  Detection  . . . . . . . . . . . . . . . 23:1--23:??
                     Meng Jiang   Transfer Learning across Graph
                                  Convolutional Networks: Methods, Theory,
                                  and Applications . . . . . . . . . . . . 24:1--24:??
                Lizhen Wang and   
                 Vanha Tran and   
                   Thanhcong Do   A Clique-Querying Mining Framework for
                                  Discovering High Utility Co-Location
                                  Patterns without Generating Candidates   25:1--25:??
                     Zhe Fu and   
                         Xi Niu   Modeling Users' Curiosity in Recommender
                                  Systems  . . . . . . . . . . . . . . . . 26:1--26:??
                 Hui-Jia Li and   
                 Yuhao Feng and   
                Chengyi Xia and   
                        Jie Cao   Overlapping Graph Clustering in
                                  Attributed Networks via Generalized
                                  Cluster Potential Game . . . . . . . . . 27:1--27:??
                     Yu Liu and   
                Zhilun Zhou and   
                    Yong Li and   
                     Depeng Jin   Urban Knowledge Graph Aided Mobile User
                                  Profiling  . . . . . . . . . . . . . . . 28:1--28:??
                Lin Kaibiao and   
                 Jinpo Chen and   
               Chen Ruicong and   
                   Yang Fan and   
                 Zhang Yang and   
                    Lin Min and   
                        Lu Ping   Adaptive Neighbor Graph Aggregated Graph
                                  Attention Network for Heterogeneous
                                  Graph Embedding  . . . . . . . . . . . . 29:1--29:??
                Yashen Wang and   
              Xiaoye Ouyang and   
                   Dayu Guo and   
                   Xiaoling Zhu   MEGA: Meta-Graph Augmented Pre-Training
                                  Model for Knowledge Graph Completion . . 30:1--30:??
                 Xiang Wang and   
                Liping Jing and   
                Huafeng Liu and   
                        Jian Yu   Structure-Driven Representation Learning
                                  for Deep Clustering  . . . . . . . . . . 1--25
            Md. Tanvir Alam and   
     Chowdhury Farhan Ahmed and   
              Md. Samiullah and   
          Carson Kai-Sang Leung   Discovering Interesting Patterns from
                                  Hypergraphs  . . . . . . . . . . . . . . 1--34

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 18, Number 2, February, 2024

                Fangfang Li and   
                    Zhi Liu and   
                Junwen Duan and   
              Xingliang Mao and   
                 Heyuan Shi and   
                  Shichao Zhang   Exploiting Conversation-Branch-Tweet
                                  HyperGraph Structure to Detect
                                  Misinformation on Social Media . . . . . 33:1--33:??
                   Xiao Luo and   
                     Wei Ju and   
                  Yiyang Gu and   
              Zhengyang Mao and   
                 Luchen Liu and   
                 Yuhui Yuan and   
                     Ming Zhang   Self-supervised Graph-level
                                  Representation Learning with Adversarial
                                  Contrastive Learning . . . . . . . . . . 34:1--34:??
         Benjamin A. Miller and   
               Zohair Shafi and   
               Wheeler Ruml and   
       Yevgeniy Vorobeychik and   
           Tina Eliassi-Rad and   
                   Scott Alfeld   Attacking Shortest Paths by Cutting
                                  Edges  . . . . . . . . . . . . . . . . . 35:1--35:??
         Francesco Spinnato and   
          Riccardo Guidotti and   
              Anna Monreale and   
                Mirco Nanni and   
             Dino Pedreschi and   
                Fosca Giannotti   Understanding Any Time Series Classifier
                                  with a Subsequence-based Explainer . . . 36:1--36:??
                     Kui Yu and   
              Zhaolong Ling and   
                    Lin Liu and   
                  Peipei Li and   
                   Hao Wang and   
                     Jiuyong Li   Feature Selection for Efficient
                                  Local-to-global Bayesian Network
                                  Structure Learning . . . . . . . . . . . 37:1--37:??
                 Ruichu Cai and   
                 Fengzhu Wu and   
                  Zijian Li and   
                   Jie Qiao and   
                   Wei Chen and   
                Yuexing Hao and   
                         Hao Gu   REST: Debiased Social Recommendation via
                                  Reconstructing Exposure Strategies . . . 38:1--38:??
                Xiaoqing Ye and   
                   Yang Sun and   
                    Dun Liu and   
                     Tianrui Li   A Multisource Data Fusion-based
                                  Heterogeneous Graph Attention Network
                                  for Competitor Prediction  . . . . . . . 39:1--39:??
               Taolin Zhang and   
              Chengyuan Mai and   
               Yaomin Chang and   
                 Chuan Chen and   
                    Lin Shu and   
                    Zibin Zheng   FedEgo: Privacy-preserving Personalized
                                  Federated Graph Learning with Ego-graphs 40:1--40:??
                Xiangkui Lu and   
                     Jun Wu and   
              Junheng Huang and   
               Fangyuan Luo and   
                    Jianbo Yuan   Co-Training-Teaching: a Robust
                                  Semi-Supervised Framework for
                                  Review-Aware Rating Regression . . . . . 41:1--41:??
               Ahmad Zareie and   
              Rizos Sakellariou   Maximizing the Diversity of Exposure in
                                  Online Social Networks by Identifying
                                  Users with Increased Susceptibility to
                                  Persuasion . . . . . . . . . . . . . . . 42:1--42:??
                     Hui Xu and   
                Liyao Xiang and   
                  Junjie Ou and   
                Yuting Weng and   
               Xinbing Wang and   
                   Chenghu Zhou   Open-World Graph Active Learning for
                                  Node Classification  . . . . . . . . . . 43:1--43:??
                  Ying Chen and   
                Siwei Qiang and   
                Mingming Ha and   
                Xiaolei Liu and   
               Shaoshuai Li and   
                 Jiabi Tong and   
              Lingfeng Yuan and   
                 Xiaobo Guo and   
                   Zhenfeng Zhu   Semi-Supervised Heterogeneous Graph
                                  Learning with Multi-Level Data
                                  Augmentation . . . . . . . . . . . . . . 44:1--44:??
                  Huan Wang and   
                Ruigang Liu and   
                Chuanqi Shi and   
               Junyang Chen and   
                   Lei Fang and   
                   Shun Liu and   
                    Zhiguo Gong   Resisting the Edge-Type Disturbance for
                                  Link Prediction in Heterogeneous
                                  Networks . . . . . . . . . . . . . . . . 45:1--45:??
                Xiaoting Li and   
               Lingwei Chen and   
                     Dinghao Wu   Adversary for Social Good: Leveraging
                                  Adversarial Attacks to Protect Personal
                                  Attribute Privacy  . . . . . . . . . . . 46:1--46:??
                     Bo Yan and   
                 Cheng Yang and   
                  Chuan Shi and   
                  Yong Fang and   
                      Qi Li and   
                 Yanfang Ye and   
                     Junping Du   Graph Mining for Cybersecurity: a Survey 47:1--47:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 18, Number 3, April, 2024

                Qiang Huang and   
                    Jing Ma and   
                 Jundong Li and   
               Ruocheng Guo and   
                 Huiyan Sun and   
                       Yi Chang   Modeling Interference for Individual
                                  Treatment Effect Estimation from
                                  Networked Observational Data . . . . . . 48:1--48:??
Vladimiro González-Zelaya and   
        Julián Salas and   
        David Megías and   
                  Paolo Missier   Fair and Private Data Preprocessing
                                  through Microaggregation . . . . . . . . 49:1--49:??
                 Ling Cheng and   
                  Feida Zhu and   
                  Yong Wang and   
             Ruicheng Liang and   
                     Huiwen Liu   From Asset Flow to Status, Action, and
                                  Intention Discovery: Early Malice
                                  Detection in Cryptocurrency  . . . . . . 50:1--50:??
                Yimin Huang and   
                Wanwan Wang and   
              Xingying Zhao and   
                 Yukun Wang and   
                 Xinyu Feng and   
                     Hao He and   
                       Ming Yao   EFMVFL: an Efficient and Flexible
                                  Multi-party Vertical Federated Learning
                                  without a Third Party  . . . . . . . . . 51:1--51:??
        Leonardo Pellegrina and   
                   Fabio Vandin   SILVAN: Estimating Betweenness
                                  Centralities with Progressive Sampling
                                  and Non-uniform Rademacher Bounds  . . . 52:1--52:??
                   Tong Xia and   
                    Yong Li and   
                  Yunhan Qi and   
                   Jie Feng and   
                  Fengli Xu and   
                 Funing Sun and   
              Diansheng Guo and   
                     Depeng Jin   History-enhanced and Uncertainty-aware
                                  Trajectory Recovery via Attentive Neural
                                  Network  . . . . . . . . . . . . . . . . 53:1--53:??
                   Xiang Ao and   
                   Ling Luo and   
                Xiting Wang and   
                  Zhao Yang and   
             Jiun-Hung Chen and   
                  Ying Qiao and   
                    Qing He and   
                       Xing Xie   Put Your Voice on Stage: Personalized
                                  Headline Generation for News Articles    54:1--54:??
                  Ling Chen and   
                  Jiahui Xu and   
                 Binqing Wu and   
                 Jianlong Huang   Group-Aware Graph Neural Network for
                                  Nationwide City Air Quality Forecasting  55:1--55:??
                Yunji Liang and   
                    Lei Liu and   
              Luwen Huangfu and   
              Sagar Samtani and   
                  Zhiwen Yu and   
                 Daniel D. Zeng   Learning Entangled Interactions of
                                  Complex Causality via Self-Paced
                                  Contrastive Learning . . . . . . . . . . 56:1--56:??
                Chi-Wei Hsu and   
            Chiao-Ting Chen and   
                  Szu-Hao Huang   Adaptive Adversarial Contrastive
                                  Learning for Cross-Domain Recommendation 57:1--57:??
                 Weitong Ou and   
                    Bo Chen and   
                  Xinyi Dai and   
               Weinan Zhang and   
                 Weiwen Liu and   
               Ruiming Tang and   
                        Yong Yu   A Survey on Bid Optimization in
                                  Real-Time Bidding Display Advertising    58:1--58:??
                      Li Ni and   
                   Hefei Xu and   
                Yiwen Zhang and   
                Wenjian Luo and   
             Yingying Huang and   
                Victor S. Sheng   Local Overlapping Spatial-aware
                                  Community Detection  . . . . . . . . . . 59:1--59:??
                 Ruichu Cai and   
                 Fengzhu Wu and   
                  Zijian Li and   
                Pengfei Wei and   
                Lingling Yi and   
                      Kun Zhang   Graph Domain Adaptation: a Generative
                                  View . . . . . . . . . . . . . . . . . . 60:1--60:??
                    Cong Su and   
                 Guoxian Yu and   
             Yongqing Zheng and   
                   Jun Wang and   
               Zhengtian Wu and   
           Xiangliang Zhang and   
            Carlotta Domeniconi   Causality-Based Fair Multiple Decision
                                  by Response Functions  . . . . . . . . . 61:1--61:??
                     Di Han and   
                Yifan Huang and   
                 Junmin Liu and   
                   Kai Liao and   
                    Kunling Lin   LSAB: User Behavioral Pattern Modeling
                                  in Sequential Recommendation by Learning
                                  Self-Attention Bias  . . . . . . . . . . 62:1--62:??
             Shenyang Huang and   
              Samy Coulombe and   
              Yasmeen Hitti and   
           Reihaneh Rabbany and   
            Guillaume Rabusseau   Laplacian Change Point Detection for
                                  Single and Multi-view Dynamic Graphs . . 63:1--63:??
               Swapnil Saha and   
                   Hafiz Imtiaz   Privacy-Preserving Non-Negative Matrix
                                  Factorization with Outliers  . . . . . . 64:1--64:??
            Ming-Chuan Yang and   
               Guo-Wei Wong and   
                Meng Chang Chen   Sparse Grid Imputation Using Unpaired
                                  Imprecise Auxiliary Data: Theory and
                                  Application to PM2.5 Estimation  . . . . 65:1--65:??
                   Han Zhao and   
                    Xu Yang and   
                     Cheng Deng   Parameter-Agnostic Deep Graph Clustering 66:1--66:??
                  Song Wang and   
                Yushun Dong and   
                 Xiao Huang and   
                  Chen Chen and   
                     Jundong Li   Learning Hierarchical Task Structures
                                  for Few-shot Graph Classification  . . . 67:1--67:??
                  Huan Rong and   
                     Xin Yu and   
                Tinghuai Ma and   
            Victor S. Sheng and   
                  Yang Zhou and   
               Al-Rodhaan Mznah   Three-stage Transferable and Generative
                                  Crowdsourced Comment Integration
                                  Framework Based on Zero- and Few-shot
                                  Learning with Domain Distribution
                                  Alignment  . . . . . . . . . . . . . . . 68:1--68:??
           Luciano Di Palma and   
                Yanlei Diao and   
                       Anna Liu   Efficient Version Space Algorithms for
                                  Human-in-the-loop Model Development  . . 69:1--69:??
           Sindhu Tipirneni and   
                   Ming Zhu and   
               Chandan K. Reddy   StructCoder: Structure-Aware Transformer
                                  for Code Generation  . . . . . . . . . . 70:1--70:??
                    Wei Fan and   
                  Yanjie Fu and   
                 Shun Zheng and   
                 Jiang Bian and   
              Yuanchun Zhou and   
                      Hui Xiong   DEWP: Deep Expansion Learning for Wind
                                  Power Forecasting  . . . . . . . . . . . 71:1--71:??
                    Zhe Liu and   
             Sukumar Letchmunan   Enhanced Fuzzy Clustering for Incomplete
                                  Instance with Evidence Combination . . . 72:1--72:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 18, Number 4, May, 2024

                  Meng Jian and   
                 Yulong Bai and   
               Jingjing Guo and   
                      Lifang Wu   Swarm Self-supervised Hypergraph
                                  Embedding for Recommendation . . . . . . 73:1--73:??
                Wentao Wang and   
                 Huifang Ma and   
                   Yan Zhao and   
                      Zhixin Li   Pre-training Question Embeddings for
                                  Improving Knowledge Tracing with
                                  Self-supervised Bi-graph Co-contrastive
                                  Learning . . . . . . . . . . . . . . . . 74:1--74:??
               Minghao Piao and   
                   Yi Sheng and   
                  Jinda Yan and   
                  Cheng Hao Jin   Image Hash Layer Triggered CNN Framework
                                  for Wafer Map Failure Pattern Retrieval
                                  and Classification . . . . . . . . . . . 75:1--75:??
                  Meng Xiao and   
               Dongjie Wang and   
                     Min Wu and   
                Kunpeng Liu and   
                  Hui Xiong and   
              Yuanchun Zhou and   
                      Yanjie Fu   Traceable Group-Wise Self-Optimizing
                                  Feature Transformation Learning: a Dual
                                  Optimization Perspective . . . . . . . . 76:1--76:??
                  Ximing Li and   
                  Bing Wang and   
                  Yang Wang and   
                      Meng Wang   Graph-based Text Classification by
                                  Contrastive Learning with Text-level
                                  Graph Augmentation . . . . . . . . . . . 77:1--77:??
                Tengfei Liu and   
                  Yongli Hu and   
                 Junbin Gao and   
                Yanfeng Sun and   
                     Baocai Yin   Cross-modal Multiple Granularity
                                  Interactive Fusion Network for Long
                                  Document Classification  . . . . . . . . 78:1--78:??
             Mustafa Bozdag and   
             Nurullah Sevim and   
               Aykut Koç   Measuring and Mitigating Gender Bias in
                                  Legal Contextualized Language Models . . 79:1--79:??
              Chunkai Zhang and   
                 Maohua Lyu and   
               Wensheng Gan and   
                   Philip S. Yu   Totally-ordered Sequential Rules for
                                  Utility Maximization . . . . . . . . . . 80:1--80:??
                    Yi Yang and   
             Zhong-Qiu Zhao and   
                Gongqing Wu and   
               Xingrui Zhuo and   
                   Qing Liu and   
                   Quan Bai and   
                      Weihua Li   A Lightweight, Effective, and Efficient
                                  Model for Label Aggregation in
                                  Crowdsourcing  . . . . . . . . . . . . . 81:1--81:??
               Shengyu Feng and   
                 Baoyu Jing and   
                   Yada Zhu and   
                  Hanghang Tong   ArieL: Adversarial Graph Contrastive
                                  Learning . . . . . . . . . . . . . . . . 82:1--82:??
                 Kaize Ding and   
              Jianling Wang and   
                 Jundong Li and   
             James Caverlee and   
                       Huan Liu   Robust Graph Meta-Learning for Weakly
                                  Supervised Few-Shot Node Classification  83:1--83:??
                 Weiyao Zhu and   
                      Ou Wu and   
               Fengguang Su and   
                   Yingjun Deng   Exploring the Learning Difficulty of
                                  Data: Theory and Measure . . . . . . . . 84:1--84:??
                   Wei Chen and   
                 Chao Huang and   
                  Yanwei Yu and   
              Yongguo Jiang and   
                     Junyu Dong   Trajectory-User Linking via Hierarchical
                                  Spatio-Temporal Attention Networks . . . 85:1--85:??
                   Gang Liu and   
                  Eric Inae and   
                Tengfei Luo and   
                     Meng Jiang   Rationalizing Graph Neural Networks with
                                  Data Augmentation  . . . . . . . . . . . 86:1--86:??
                  Chao Long and   
              Huanhuan Yuan and   
                Junhua Fang and   
               Xuefeng Xian and   
               Guanfeng Liu and   
            Victor S. Sheng and   
                  Pengpeng Zhao   Learning Global and Multi-granularity
                                  Local Representation with MLP for
                                  Sequential Recommendation  . . . . . . . 87:1--87:??
                     Hui Xu and   
                Liyao Xiang and   
               Xiaoying Gan and   
                   Luoyi Fu and   
               Xinbing Wang and   
                   Chenghu Zhou   Distributional Learning for Network
                                  Alignment with Global Constraints  . . . 88:1--88:??
              Guixian Zhang and   
              Shichao Zhang and   
                      Guan Yuan   Bayesian Graph Local Extrema Convolution
                                  with Long-tail Strategy for
                                  Misinformation Detection . . . . . . . . 89:1--89:??
                 Senlin Shu and   
              Deng-Bao Wang and   
                 Suqin Yuan and   
                Hongxin Wei and   
             Jiuchuan Jiang and   
                   Lei Feng and   
                 Min-Ling Zhang   Multiple-instance Learning from Triplet
                                  Comparison Bags  . . . . . . . . . . . . 90:1--90:??
                 Yilin Wang and   
                   Sha Zhao and   
                Shiwei Zhao and   
                   Runze Wu and   
                  Yuhong Xu and   
               Jianrong Tao and   
                 Tangjie Lv and   
                 Shijian Li and   
                 Zhipeng Hu and   
                       Gang Pan   PU-Detector: a PU Learning-based
                                  Framework for Real Money Trading
                                  Detection in MMORPG  . . . . . . . . . . 91:1--91:??
               Yuhong Zhang and   
                Jianqing Wu and   
                     Kui Yu and   
                     Xindong Wu   Diverse Structure-Aware Relation
                                  Representation in Cross-Lingual Entity
                                  Alignment  . . . . . . . . . . . . . . . 92:1--92:??
  Dakshi Kapugama Geeganage and   
                     Yue Xu and   
                     Yuefeng Li   A Semantics-enhanced Topic Modelling
                                  Technique: Semantic-LDA  . . . . . . . . 93:1--93:??
                 Yuyang Ren and   
               Haonan Zhang and   
                   Luoyi Fu and   
                Shiyu Liang and   
                   Lei Zhou and   
               Xinbing Wang and   
                  Xinde Cao and   
                   Fei Long and   
                   Chenghu Zhou   Hi-PART: Going Beyond Graph Pooling with
                                  Hierarchical Partition Tree for
                                  Graph-Level Representation Learning  . . 94:1--94:??
               Oana Balalau and   
           Francesco Bonchi and   
           T-H. Hubert Chan and   
            Francesco Gullo and   
                Mauro Sozio and   
                        Hao Xie   Finding Subgraphs with Maximum Total
                                  Density and Limited Overlap in Weighted
                                  Hypergraphs  . . . . . . . . . . . . . . 95:1--95:??
                 Jinpeng Li and   
                    Hang Yu and   
               Zhenyu Zhang and   
              Xiangfeng Luo and   
                   Shaorong Xie   Concept Drift Adaptation by Exploiting
                                  Drift Type . . . . . . . . . . . . . . . 96:1--96:??
                  Feng Xiao and   
                  Youfa Liu and   
                       Jia Shao   NNC-GCN: Neighbours-to-Neighbours
                                  Contrastive Graph Convolutional Network
                                  for Semi-Supervised Classification . . . 97:1--97:??
                Jinrong Lai and   
                  Tong Wang and   
                 Chuan Chen and   
                    Zibin Zheng   Information-aware Multi-view Outlier
                                  Detection  . . . . . . . . . . . . . . . 98:1--98:??
                  Jingke Tu and   
              Jiaming Huang and   
                   Lei Yang and   
                      Wanyu Lin   Personalized Federated Learning with
                                  Layer-Wise Feature Transformation via
                                  Meta-Learning  . . . . . . . . . . . . . 99:1--99:??
                 Mehak Khan and   
        Gustavo B. M. Mello and   
             Laurence Habib and   
             Paal Engelstad and   
                    Anis Yazidi   HITS-based Propagation Paradigm for
                                  Graph Neural Networks  . . . . . . . . . 100:1--100:??
         Pouya Ghahramanian and   
             Sepehr Bakhshi and   
                Hamed Bonab and   
                      Fazli Can   A Novel Neural Ensemble Architecture for
                                  On-the-fly Classification of Evolving
                                  Text Streams . . . . . . . . . . . . . . 101:1--101:??
                 Ying Zhang and   
              Zhiqiang Zhao and   
                      Zhuo Feng   diGRASS: Directed Graph Spectral
                                  Sparsification via Spectrum-Preserving
                                  Symmetrization . . . . . . . . . . . . . 102:1--102:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 18, Number 5, June, 2024

                Yicheng Pan and   
                Yifan Zhang and   
               Xinrui Jiang and   
                    Meng Ma and   
                      Ping Wang   EffCause: Discover Dynamic Causal
                                  Relationships Efficiently from
                                  Time-Series  . . . . . . . . . . . . . . 105:1--105:??
               Kai-Lang Yao and   
                      Wu-Jun Li   Asymmetric Learning for Graph Neural
                                  Network based Link Prediction  . . . . . 106:1--106:??
                 Xiaobo Guo and   
                Mingming Ha and   
                 Xuewen Tao and   
               Shaoshuai Li and   
                   Youru Li and   
               Zhenfeng Zhu and   
               Zhiyong Shen and   
                          Li Ma   Multi-Task Learning with Sequential
                                  Dependence Toward Industrial
                                  Applications: a Systematic Formulation   107:1--107:??
                  Lei Zhang and   
                   Yong Liu and   
                Zhiwei Zeng and   
                 Yiming Cao and   
                  Xingyu Wu and   
                 Yonghui Xu and   
                 Zhiqi Shen and   
                     Lizhen Cui   Package Arrival Time Prediction via
                                  Knowledge Distillation Graph Neural
                                  Network  . . . . . . . . . . . . . . . . 108:1--108:??
              Chuan-Wei Kuo and   
                 Bo-Yu Chen and   
              Wen-Chih Peng and   
            Chih-Chieh Hung and   
                   Hsin-Ning Su   Correlation-aware Graph Data
                                  Augmentation with Implicit and Explicit
                                  Neighbors  . . . . . . . . . . . . . . . 109:1--109:??
              Mingxing Duan and   
                   Kenli Li and   
               Weinan Zhang and   
                 Jiarui Qin and   
                       Bin Xiao   Attacking Click-through Rate Predictors
                                  via Generating Realistic Fake Samples    110:1--110:??
      Samira Khodabandehlou and   
    Alireza Hashemi Golpayegani   FiFrauD: Unsupervised Financial Fraud
                                  Detection in Dynamic Graph Streams . . . 111:1--111:??
               Jianshan Sun and   
                 Suyuan Mei and   
                   Kun Yuan and   
             Yuanchun Jiang and   
                        Jie Cao   Prerequisite-Enhanced Category-Aware
                                  Graph Neural Networks for Course
                                  Recommendation . . . . . . . . . . . . . 112:1--112:??
            Songgaojun Deng and   
          Olivier Sprangers and   
                    Ming Li and   
         Sebastian Schelter and   
               Maarten de Rijke   Domain Generalization in Time Series
                                  Forecasting  . . . . . . . . . . . . . . 113:1--113:??
              Gengsen Huang and   
               Wensheng Gan and   
                   Philip S. Yu   TaSPM: Targeted Sequential Pattern
                                  Mining . . . . . . . . . . . . . . . . . 114:1--114:??
                 Yichen Zhu and   
                   Bo Jiang and   
                Haiming Jin and   
             Mengtian Zhang and   
                   Feng Gao and   
            Jianqiang Huang and   
                    Tao Lin and   
                   Xinbing Wang   Networked Time-series Prediction with
                                  Incomplete Data via Generative
                                  Adversarial Network  . . . . . . . . . . 115:1--115:??
                  Huan Rong and   
               Minfeng Qian and   
                Tinghuai Ma and   
                     Di Jin and   
                Victor S. Sheng   CoBjeason: Reasoning Covered Object in
                                  Image by Multi-Agent Collaboration Based
                                  on Informed Knowledge Graph  . . . . . . 116:1--116:??
       Pradumn Kumar Pandey and   
                 Aikta Arya and   
                  Akrati Saxena   X-distribution: Retraceable Power-law
                                  Exponent of Complex Networks . . . . . . 117:1--117:??
           Sajedeh Moradnia and   
              Mousa Golalizadeh   Supervised Clustering of Persian
                                  Handwritten Images Using Regularization
                                  and Dimension Reduction Methods  . . . . 118:1--118:??
               Hongjie Chen and   
                 Hoda Eldardiry   Graph Time-series Modeling in Deep
                                  Learning: a Survey . . . . . . . . . . . 119:1--119:??
            Yannis Poulakis and   
       Christos Doulkeridis and   
           Dimosthenis Kyriazis   A Survey on AutoML Methods and Systems
                                  for Clustering . . . . . . . . . . . . . 120:1--120:??
Ansel Y. Rodríguez-González and   
        Ramón Aranda and   
Miguel Á. Álvarez-Carmona and   
  Angel Díaz-Pacheco and   
Rosa María Valdovinos Rosas   X-FSPMiner: a Novel Algorithm for
                                  Frequent Similar Pattern Mining  . . . . 121:1--121:??
             Tianxiang Luan and   
                  Shilin Gu and   
                 Xijia Tang and   
             Wenzhang Zhuge and   
                   Chenping Hou   Multi-Instance Learning with One Side
                                  Label Noise  . . . . . . . . . . . . . . 122:1--122:??
                    Wei Qin and   
               Xiaowei Wang and   
                Zhenzhen Hu and   
                   Lei Wang and   
                 Yunshi Lan and   
                   Richang Hong   Math Word Problem Generation via
                                  Disentangled Memory Retrieval  . . . . . 123:1--123:??
                 Haobo Wang and   
                 Cheng Peng and   
                  Hede Dong and   
                   Lei Feng and   
                 Weiwei Liu and   
                 Tianlei Hu and   
                    Ke Chen and   
                      Gang Chen   On the Value of Head Labels in
                                  Multi-Label Text Classification  . . . . 124:1--124:??
                  Wentao Hu and   
                       Hui Fang   Towards Differential Privacy in
                                  Sequential Recommendation: a Noisy Graph
                                  Neural Network Approach  . . . . . . . . 125:1--125:??
                      Li Ni and   
                     Rui Ye and   
                Wenjian Luo and   
                    Yiwen Zhang   Local Community Detection in Multiple
                                  Private Networks . . . . . . . . . . . . 126:1--126:??
                Yongduo Sui and   
                  Wenyu Mao and   
                Shuyao Wang and   
                 Xiang Wang and   
                 Jiancan Wu and   
                Xiangnan He and   
                  Tat-Seng Chua   Enhancing Out-of-distribution
                                  Generalization on Graphs via Causal
                                  Attention Learning . . . . . . . . . . . 127:1--127:??
                    Kai Sun and   
               Huajie Jiang and   
                  Yongli Hu and   
                     Baocai Yin   Incorporating Multi-Level Sampling with
                                  Adaptive Aggregation for Inductive
                                  Knowledge Graph Completion . . . . . . . 128:1--128:??
                 Rujing Yao and   
                          Ou Wu   A Taxonomy for Learning with
                                  Perturbation and Algorithms  . . . . . . 129:1--129:??
                     Yuehui Han   Generation-based Multi-view Contrast for
                                  Self-supervised Graph Representation
                                  Learning . . . . . . . . . . . . . . . . 130:1--130:??
              Kuldeep Singh and   
                 Bhaskar Biswas   Mining Top-$k$ High On-shelf Utility
                                  Itemsets Using Novel Threshold Raising
                                  Strategies . . . . . . . . . . . . . . . 131:1--131:??
         Sharon Torao Pingi and   
                Richi Nayak and   
                 Md Abul Bashar   Conditional Generative Adversarial
                                  Network for Early Classification of
                                  Longitudinal Datasets Using an
                                  Imputation Approach  . . . . . . . . . . 132:1--132:??
              Fadi Dornaika and   
          Zoulfikar Ibrahim and   
           Alirezah Bosaghzadeh   Scalable and Inductive Semi-supervised
                                  Classifier with Sample Weighting Based
                                  on Graph Topology  . . . . . . . . . . . 133:1--133:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 18, Number 6, July, 2024

                  Yang Yang and   
                Feifei Wang and   
                Enqiang Zhu and   
                  Fei Jiang and   
                        Wen Yao   Social Behavior Analysis in Exclusive
                                  Enterprise Social Networks by FastHAND   134:1--134:??
               Huiping Chen and   
              Alessio Conte and   
             Roberto Grossi and   
         Grigorios Loukides and   
            Solon P. Pissis and   
              Michelle Sweering   On Breaking Truss-based and Core-based
                                  Communities  . . . . . . . . . . . . . . 135:1--135:??
                  Xuefei Li and   
                Huiwei Zhou and   
                Weihong Yao and   
                  Wenchu Li and   
                 Baojie Liu and   
                     Yingyu Lin   Intricate Spatiotemporal Dependency
                                  Learning for Temporal Knowledge Graph
                                  Reasoning  . . . . . . . . . . . . . . . 136:1--136:??
                Yimei Zheng and   
                     Caiyan Jia   ProtoMGAE: Prototype-Aware Masked Graph
                                  Auto-Encoder for Graph Representation
                                  Learning . . . . . . . . . . . . . . . . 137:1--137:??
                 April Chen and   
              Ryan A. Rossi and   
               Namyong Park and   
               Puja Trivedi and   
                    Yu Wang and   
                    Tong Yu and   
               Sungchul Kim and   
         Franck Dernoncourt and   
               Nesreen K. Ahmed   Fairness-Aware Graph Neural Networks: a
                                  Survey . . . . . . . . . . . . . . . . . 138:1--138:??
                Acong Zhang and   
             Jincheng Huang and   
                    Ping Li and   
                      Kai Zhang   Building Shortcuts between Distant Nodes
                                  with Biaffine Mapping for Graph
                                  Convolutional Networks . . . . . . . . . 139:1--139:??
                   Zhe Chen and   
                      Aixin Sun   DP-GCN: Node Classification by
                                  Connectivity and Local Topology
                                  Structure on Real-World Network  . . . . 140:1--140:??
                 Sarwan Ali and   
             Muhammad Ahmad and   
            Maham Anwer Beg and   
           Imdad Ullah Khan and   
        Safiullah Faizullah and   
             Muhammad Asad Khan   SsAG: Summarization and Sparsification
                                  of Attributed Graphs . . . . . . . . . . 141:1--141:??
                 Derun Song and   
                Enneng Yang and   
                Guibing Guo and   
                    Li Shen and   
              Linying Jiang and   
                   Xingwei Wang   Multi-Scenario and Multi-Task Aware
                                  Feature Interaction for Recommendation
                                  System . . . . . . . . . . . . . . . . . 142:1--142:??
             Richard Connor and   
                 Lucia Vadicamo   nSimplex Zen: a Novel Dimensionality
                                  Reduction for Euclidean and Hilbert
                                  Spaces . . . . . . . . . . . . . . . . . 143:1--143:??
                  Taoran Ji and   
                Nathan Self and   
                  Kaiqun Fu and   
               Zhiqian Chen and   
         Naren Ramakrishnan and   
                  Chang-Tien Lu   Citation Forecasting with Multi-Context
                                  Attention-Aided Dependency Modeling  . . 144:1--144:??
               Houquan Zhou and   
               Shenghua Liu and   
                Huawei Shen and   
                    Xueqi Cheng   Node Embedding Preserving Graph
                                  Summarization  . . . . . . . . . . . . . 145:1--145:??
  Konstantinos Theocharidis and   
          Panagiotis Karras and   
         Manolis Terrovitis and   
        Spiros Skiadopoulos and   
                   Hady W. Lauw   Adaptive Content-Aware Influence
                                  Maximization via Online Learning to Rank 146:1--146:??
           George Paterakis and   
          Stefanos Fafalios and   
       Paulos Charonyktakis and   
     Vassilis Christophides and   
            Ioannis Tsamardinos   Do We Really Need Imputation in AutoML
                                  Predictive Modeling? . . . . . . . . . . 147:1--147:??
                  Chi Zhang and   
                 Linhao Cai and   
                  Meng Chen and   
                Xiucheng Li and   
                       Gao Cong   DeepMeshCity: a Deep Learning Model for
                                  Urban Grid Prediction  . . . . . . . . . 148:1--148:??
               Hongwei Yang and   
                     Hui He and   
               Weizhe Zhang and   
                   Yan Wang and   
                       Lin Jing   Multi-Source and Multi-modal Deep
                                  Network Embedding for Cross-Network Node
                                  Classification . . . . . . . . . . . . . 149:1--149:??
                   Can Rong and   
               Zhicheng Liu and   
               Jingtao Ding and   
                        Yong Li   Learning to Generate Temporal
                                  Origin-destination Flow Based-on Urban
                                  Regional Features and Traffic
                                  Information  . . . . . . . . . . . . . . 150:1--150:??
                  Zhibin Gu and   
                Songhe Feng and   
                Zhendong Li and   
              Jiazheng Yuan and   
                        Jun Liu   NOODLE: Joint Cross-View Discrepancy
                                  Discovery and High-Order Correlation
                                  Detection for Multi-View Subspace
                                  Clustering . . . . . . . . . . . . . . . 151:1--151:??
                 Yuhan Wang and   
                   Qing Xie and   
                Mengzi Tang and   
                     Lin Li and   
              Jingling Yuan and   
                   Yongjian Liu   A Dual Perspective Framework of
                                  Knowledge-correlation for Cross-domain
                                  Recommendation . . . . . . . . . . . . . 152:1--152:??
                  Chen Zhao and   
                    Feng Mi and   
                  Xintao Wu and   
                  Kai Jiang and   
               Latifur Khan and   
                      Feng Chen   Dynamic Environment Responsive Online
                                  Meta-Learning with Fairness Awareness    153:1--153:??
                  Hong Zhao and   
                 Zhengyu Li and   
                  Wenwei He and   
                       Yan Zhao   Hierarchical Convolutional Neural
                                  Network with Knowledge Complementation
                                  for Long-Tailed Classification . . . . . 154:1--154:??
              Sherry Sahebi and   
                Mengfan Yao and   
                Siqian Zhao and   
             Reza Feyzi Behnagh   MoMENt: Marked Point Processes with
                                  Memory-Enhanced Neural Networks for User
                                  Activity Modeling  . . . . . . . . . . . 155:1--155:??
              Minyoung Choe and   
                 Jaemin Yoo and   
                   Geon Lee and   
              Woonsung Baek and   
                    U. Kang and   
                    Kijung Shin   Representative and Back-In-Time Sampling
                                  from Real-world Hypergraphs  . . . . . . 156:1--156:??
               Guosheng Cui and   
                 Ruxin Wang and   
                     Dan Wu and   
                          Ye Li   Semi-supervised Multi-view Clustering
                                  based on NMF with Fusion Regularization  157:1--157:??
                  Jiadi Han and   
                 Yufei Tang and   
                   Qian Tao and   
                  Yuhan Xia and   
                   Liming Zhang   Dual Homogeneity Hypergraph Motifs with
                                  Cross-view Contrastive Learning for
                                  Multiple Social Recommendations  . . . . 158:1--158:??
               Wentai Zhang and   
                 HaiHong E. and   
                 Haoran Luo and   
                    Mingzhi Sun   FulBM: Fast Fully Batch Maintenance for
                                  Landmark-based $3$-hop Cover Labeling    159:1--159:??
              Jingfeng Yang and   
                 Hongye Jin and   
              Ruixiang Tang and   
               Xiaotian Han and   
               Qizhang Feng and   
              Haoming Jiang and   
             Shaochen Zhong and   
                   Bing Yin and   
                         Xia Hu   Harnessing the Power of LLMs in
                                  Practice: a Survey on ChatGPT and Beyond 160:1--160:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 18, Number 7, August, 2024

                 Jingyi Cui and   
               Guangquan Xu and   
                   Jian Liu and   
              Shicheng Feng and   
                Jianli Wang and   
                   Hao Peng and   
                  Shihui Fu and   
              Zhaohua Zheng and   
                   Xi Zheng and   
                   Shaoying Liu   ID-SR: Privacy-Preserving Social
                                  Recommendation Based on Infinite
                                  Divisibility for Trustworthy AI  . . . . 161:1--161:??
                Xihong Yang and   
                  Yiqi Wang and   
                    Yue Liu and   
                     Yi Wen and   
              Lingyuan Meng and   
                Sihang Zhou and   
                Xinwang Liu and   
                         En Zhu   Mixed Graph Contrastive Network for
                                  Semi-supervised Node Classification  . . 162:1--162:??
              Zhaolong Ling and   
                    Enqi Xu and   
                  Peng Zhou and   
                   Liang Du and   
                     Kui Yu and   
                     Xindong Wu   Fair Feature Selection: a Causal
                                  Perspective  . . . . . . . . . . . . . . 163:1--163:??
              O. Deniz Kose and   
                   Yanning Shen   FairGAT: Fairness-Aware Graph Attention
                                  Networks . . . . . . . . . . . . . . . . 164:1--164:??
               Shenghao Liu and   
                   Yu Zhang and   
                 Lingzhi Yi and   
               Xianjun Deng and   
           Laurence T. Yang and   
                      Bang Wang   Dual-Side Adversarial Learning Based
                                  Fair Recommendation for Sensitive
                                  Attribute Filtering  . . . . . . . . . . 165:1--165:??
                  Tiandi Ye and   
                   Cen Chen and   
               Yinggui Wang and   
                   Xiang Li and   
                       Ming Gao   BapFL: You can Backdoor Personalized
                                  Federated Learning . . . . . . . . . . . 166:1--166:??
                  Feifei Li and   
               Yuanbin Wang and   
                  Oya Beyan and   
       Mirjam Schöneck and   
      Liliana Lourenco Caldeira   Voxel-Wise Medical Image Generalization
                                  for Eliminating Distribution Shift . . . 167:1--167:??
                  Cheng Wen and   
                Yuandao Cai and   
                  Bin Zhang and   
                     Jie Su and   
                   Zhiwu Xu and   
                 Dugang Liu and   
              Shengchao Qin and   
                 Zhong Ming and   
                      Tian Cong   Automatically Inspecting Thousands of
                                  Static Bug Warnings with Large Language
                                  Model: How Far Are We? . . . . . . . . . 168:1--168:??
                Chenwang Wu and   
                  Defu Lian and   
                    Yong Ge and   
                   Min Zhou and   
                    Enhong Chen   Attacking Social Media via Behavior
                                  Poisoning  . . . . . . . . . . . . . . . 169:1--169:??
         Dariusz Brzezinski and   
           Julia Stachowiak and   
          Jerzy Stefanowski and   
            Izabela Szczech and   
             Robert Susmaga and   
             Sofya Aksenyuk and   
          Uladzimir Ivashka and   
            Oleksandr Yasinskyi   Properties of Fairness Measures in the
                                  Context of Varying Class Imbalance and
                                  Protected Group Ratios . . . . . . . . . 170:1--170:??
                Yunkai Chen and   
                Qimeng Wang and   
                  Shiwei Wu and   
                    Yan Gao and   
                    Tong Xu and   
                         Yao Hu   TOMGPT: Reliable Text-Only Training
                                  Approach for Cost-Effective Multi-modal
                                  Large Language Model . . . . . . . . . . 171:1--171:??
               Jiaxin Zhang and   
                  Yiqi Wang and   
                Xihong Yang and   
                         En Zhu   A Fully Test-time Training Framework for
                                  Semi-supervised Node Classification on
                                  Out-of-Distribution Graphs . . . . . . . 172:1--172:??
               Ronghang Zhu and   
              Dongliang Guo and   
                 Daiqing Qi and   
                Zhixuan Chu and   
                   Xiang Yu and   
                       Sheng Li   A Survey of Trustworthy Representation
                                  Learning Across Domains  . . . . . . . . 173:1--173:??
                 Mengyao Li and   
                 Zhiyong Li and   
               Zhibang Yang and   
                    Xu Zhou and   
                   Yifan Li and   
                   Ziyan Wu and   
              Lingzhao Kong and   
                         Ke Nai   SA2E-AD: a Stacked Attention Autoencoder
                                  for Anomaly Detection in Multivariate
                                  Time Series  . . . . . . . . . . . . . . 174:1--174:??
            Wen-Ming Zhuang and   
              Chih-Yao Chen and   
                    Cheng-Te Li   Towards Robust Rumor Detection with
                                  Graph Contrastive and Curriculum
                                  Learning . . . . . . . . . . . . . . . . 175:1--175:??
                  Lei Zhang and   
                    Lele Fu and   
                   Chen Liu and   
                  Zhao Yang and   
               Jinghua Yang and   
                Zibin Zheng and   
                     Chuan Chen   Toward Few-Label Vertical Federated
                                  Learning . . . . . . . . . . . . . . . . 176:1--176:??
                  Xinru Liu and   
               Yongjing Hao and   
                   Lei Zhao and   
               Guanfeng Liu and   
            Victor S. Sheng and   
                  Pengpeng Zhao   LMACL: Improving Graph Collaborative
                                  Filtering with Learnable Model
                                  Augmentation Contrastive Learning  . . . 177:1--177:??
          Philipp Schlieper and   
               Hermann Luft and   
                  Kai Klede and   
       Christoph Strohmeyer and   
            Bjoern Eskofier and   
                    Dario Zanca   Enhancing Unsupervised Outlier Model
                                  Selection: a Study on IREOS Algorithms   178:1--178:??
                Hongjie Sui and   
                   Huan Yan and   
               Tianyi Zheng and   
              Wenzhen Huang and   
              Yunlin Zhuang and   
                        Yong Li   Congestion-aware Spatio-Temporal Graph
                                  Convolutional Network-based $ A* $
                                  Search Algorithm for Fastest Route
                                  Search . . . . . . . . . . . . . . . . . 179:1--179:??
             Manuele Bicego and   
            Ferdinando Cicalese   Computing Random Forest-distances in the
                                  presence of missing data . . . . . . . . 180:1--180:??
                 Jiayi Deng and   
              Danyang Huang and   
                       Bo Zhang   Distributed Pseudo-Likelihood Method for
                                  Community Detection in Large-Scale
                                  Networks . . . . . . . . . . . . . . . . 181:1--181:??
          Bolun (Namir) Xia and   
               Vipula Rawte and   
               Aparna Gupta and   
                  Mohammed Zaki   FETILDA: Evaluation Framework for
                                  Effective Representations of Long
                                  Financial Documents  . . . . . . . . . . 182:1--182:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 18, Number 8, September, 2024

                Penghang Yu and   
               Bing-Kun Bao and   
                  Zhiyi Tan and   
                    Guanming Lu   Improving Graph Collaborative Filtering
                                  with Directional Behavior Enhanced
                                  Contrastive Learning . . . . . . . . . . 183:1--183:??
               Fengcheng Lu and   
             Michael Kwok-Po Ng   FastHGNN: a New Sampling Technique for
                                  Learning with Hypergraph Neural Networks 184:1--184:??
               Yinqiu Huang and   
                    Min Gao and   
                    Kai Shu and   
               Chenghua Lin and   
                   Jia Wang and   
                       Wei Zhou   EML: Emotion-Aware Meta Learning for
                                  Cross-Event False Information Detection  185:1--185:??
               Yu-Yang Qian and   
              Zhen-Yu Zhang and   
                  Peng Zhao and   
                   Zhi-Hua Zhou   Learning with Asynchronous Labels  . . . 186:1--186:??
                   Yifan He and   
                 Yatao Bian and   
                    Xi Ding and   
                 Bingzhe Wu and   
                Jihong Guan and   
                   Ji Zhang and   
                  Shuigeng Zhou   Variate Associated Domain Adaptation for
                                  Unsupervised Multivariate Time Series
                                  Anomaly Detection  . . . . . . . . . . . 187:1--187:??
              Tianhai Liang and   
            Qiangqiang Shen and   
                Shuqin Wang and   
              Yongyong Chen and   
               Guokai Zhang and   
                    Junxin Chen   Data Completion-Guided Unified Graph
                                  Learning for Incomplete Multi-View
                                  Clustering . . . . . . . . . . . . . . . 188:1--188:??
                    Tong Li and   
                 Shuodi Hui and   
              Shiyuan Zhang and   
              Huandong Wang and   
               Yuheng Zhang and   
                    Pan Hui and   
                 Depeng Jin and   
                        Yong Li   Mobile User Traffic Generation Via
                                  Multi-Scale Hierarchical GAN . . . . . . 189:1--189:??
Victor Gomes De Oliveira Martins Nicola and   
    Karina Valdivia Delgado and   
      Marcelo de Souza Lauretto   Imbalance-Robust Multi-Label
                                  Self-Adjusting kNN . . . . . . . . . . . 190:1--190:??
                 Xiangyu Li and   
                       Hua Wang   On Mean-Optimal Robust Linear
                                  Discriminant Analysis  . . . . . . . . . 191:1--191:??
        Ocheme Anthony Ekle and   
                 William Eberle   Anomaly Detection in Dynamic Graphs: a
                                  Comprehensive Survey . . . . . . . . . . 192:1--192:??
                  Yunjia Xi and   
                 Weiwen Liu and   
                  Xinyi Dai and   
               Ruiming Tang and   
                   Qing Liu and   
               Weinan Zhang and   
                        Yong Yu   Utility-Oriented Reranking with
                                  Counterfactual Context . . . . . . . . . 193:1--193:??
                   Jiao Yin and   
                   Wei Hong and   
                   Hua Wang and   
                  Jinli Cao and   
                  Yuan Miao and   
                  Yanchun Zhang   A Compact Vulnerability Knowledge Graph
                                  for Risk Assessment  . . . . . . . . . . 194:1--194:??
               Lingkai Yang and   
              Sally McClean and   
              Mark Donnelly and   
                Kashaf Khan and   
                    Kevin Burke   Detecting Process Duration Drift Using
                                  Gamma Mixture Models in a Left-Truncated
                                  and Right-Censored Environment . . . . . 195:1--195:??
                 Yang Zhang and   
                    Ting Yu and   
             Shengqiang Chi and   
                  Zhen Wang and   
                    Yue Gao and   
                   Ji Zhang and   
                   Tianshu Zhou   Attribute Diversity Aware Community
                                  Detection on Attributed Graphs Using
                                  Three-View Graph Attention Neural
                                  Networks . . . . . . . . . . . . . . . . 196:1--196:??
                   Munan Li and   
                    Kai Liu and   
                 Hongbo Liu and   
                 Zheng Zhao and   
              Tomas E. Ward and   
                     Xindong Wu   Heterogeneous Meta-Path Graph Learning
                                  for Higher-Order Social Recommendation   197:1--197:??
              Yuliang Liang and   
                Enneng Yang and   
                Guibing Guo and   
                    Wei Cai and   
              Linying Jiang and   
                   Xingwei Wang   Deconfounding User Preference in
                                  Recommendation Systems through Implicit
                                  and Explicit Feedback  . . . . . . . . . 198:1--198:??
                  Ziyu Zhao and   
                   Yuqi Bai and   
              Ruoxuan Xiong and   
                 Qingyu Cao and   
                    Chao Ma and   
                 Ning Jiang and   
                     Fei Wu and   
                      Kun Kuang   Learning Individual Treatment Effects
                                  under Heterogeneous Interference in
                                  Networks . . . . . . . . . . . . . . . . 199:1--199:??
                     Fei Ma and   
                      Ping Wang   Structural Properties on Scale-Free Tree
                                  Network with an Ultra-Large Diameter . . 200:1--200:??
                   Jiaye Li and   
                Jinjing Shi and   
                 Jian Zhang and   
                    Yuhu Lu and   
                     Qin Li and   
                 Chunlin Yu and   
                  Shichao Zhang   Quantum Nearest Neighbor Collaborative
                                  Filtering Algorithm for Recommendation
                                  System . . . . . . . . . . . . . . . . . 201:1--201:??
                Shifei Ding and   
                   Benyu Wu and   
                  Ling Ding and   
                    Xiao Xu and   
                   Lili Guo and   
               Hongmei Liao and   
                     Xindong Wu   Towards Faster Deep Graph Clustering via
                                  Efficient Graph Auto-Encoder . . . . . . 202:1--202:??
               Mingchen Sun and   
                  Yingji Li and   
                  Ying Wang and   
                       Xin Wang   Towards Domain-Aware Stable Meta
                                  Learning for Out-of-Distribution
                                  Generalization . . . . . . . . . . . . . 203:1--203:??
                Xiangyu Wei and   
                   Wei Wang and   
           Chongsheng Zhang and   
               Weiping Ding and   
                   Bin Wang and   
                Yaguan Qian and   
                   Zhen Han and   
                     Chunhua Su   Neighbor-Enhanced Representation
                                  Learning for Link Prediction in Dynamic
                                  Heterogeneous Attributed Networks  . . . 204:1--204:??
                  Hongyu Li and   
                Lefei Zhang and   
                   Kehua Su and   
                         Wei Yu   MICCF: a Mutual Information Constrained
                                  Clustering Framework for Learning
                                  Clustering-Oriented Feature
                                  Representations  . . . . . . . . . . . . 205:1--205:??
               Chengwu Liao and   
                  Chao Chen and   
                Wanyi Zhang and   
                Suiming Guo and   
                       Chao Liu   AGENDA: Predicting Trip Purposes with A
                                  New Graph Embedding Network and Active
                                  Domain Adaptation  . . . . . . . . . . . 206:1--206:??
                    Bo Peng and   
                  Ziqi Chen and   
   Srinivasan Parthasarathy and   
                       Xia Ning   Modeling Sequences as Star Graphs to
                                  Address Over-Smoothing in Self-Attentive
                                  Sequential Recommendation  . . . . . . . 207:1--207:??
               Chunnan Wang and   
                Xiangyu Shi and   
                   Hongzhi Wang   Fair Federated Learning with
                                  Multi-Objective Hyperparameter
                                  Optimization . . . . . . . . . . . . . . 208:1--208:??
                  Peng Zhou and   
                 Yufeng Guo and   
                  Haoran Yu and   
               Yuanting Yan and   
              Yanping Zhang and   
                     Xindong Wu   Concept Evolution Detecting over Feature
                                  Streams  . . . . . . . . . . . . . . . . 209:1--209:??
                Siyuan Meng and   
                   Jie Zhou and   
                 Xuxin Chen and   
                  Yufei Liu and   
                Fengyuan Lu and   
                    Xinli Huang   Structure-Information-Based Reasoning
                                  over the Knowledge Graph: a Survey of
                                  Methods and Applications . . . . . . . . 210:1--210:??