Selected Publications

    2018

  1. ACM IMCOM 2018
  2. Carson K. Leung: Anti-monotone constraints. Encyclopedia of Database Systems, Second Edition: (1 page) (2017) ISBN 978-1-4899-7993-3
  3. Carson Kai-Sang Leung: Convertible constraints. Encyclopedia of Database Systems, Second Edition: (2 pages) (2017) ISBN 978-1-4899-7993-3
  4. Carson Kai-Sang Leung: Monotone constraints. Encyclopedia of Database Systems, Second Edition: (2017) ISBN 978-1-4899-7993-3
  5. Carson Kai-Sang Leung: Succinct constraints. Encyclopedia of Database Systems, Second Edition: (2017) ISBN 978-1-4899-7993-3
  6. Carson Kai-Sang Leung: Frequent itemset mining with constraints. Encyclopedia of Database Systems, Second Edition: (6 pages) (2016) ISBN 978-1-4899-7993-3
  7. Carson K. Leung, Fan Jiang, Tik Wai Poon, Paul-Émile Crevier: Big data analytics of social network data: Who cares most about you on Facebook? Highlighting the Importance of Big Data Management and Analysis for Various Applications (Studies in Big Data (SBD) 27): 1-15 (2018) [BIDMA16] [UBC]
  8. Carson K.-S. Leung: Big data analysis and mining. Encyclopedia of Information Science and Technology, Fourth Edition (Vol. I): 338-348 (ch.30) (2018) ISBN 978-1-5225-2255-3 [IGI Global]
  9. 2017

  10. James A. Brown, Alfredo Cuzzocrea, Michael Kresta, Korbin D.L. Kristjanson, Carson K. Leung, Timothy W. Tebinka: A machine learning system for supporting advanced knowledge discovery from chess game data. IEEE ICMLA 2017 (6)
  11. Carson K. Leung, Deyu Deng, Calvin S.H. Hoi, Wookey Lee: Constrained big data mining in an edge computing environment. 5th BigDAS 2017 (6)
  12. Peter Braun, Alfredo Cuzzocrea, Lam M.V. Doan, Suyoung Kim, Carson K. Leung, Jose Francisco A. Matundan, Rashpal Robby Singh: Enhanced prediction of user-preferred YouTube videos based on cleaned viewing pattern history. Procedia Computer Science 112, special issue of KES 2017: 2230-2239
  13. Peter Braun, Alfredo Cuzzocrea, Timothy D. Keding, Carson K. Leung, Adam G.M. Pazdor, Dell Sayson: Game data mining: clustering and visualization of online game data in cyber-physical worlds. Procedia Computer Science 112, special issue of KES 2017: 2259-2268
  14. Peter Braun, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, Adam G.M. Pazdor: MapReduce-based complex big data analytics over uncertain and imprecise social networks. DaWaK 2017 (LNCS 10440): 130-145
  15. Carson K. Leung, Fan Jiang, Adam G.M. Pazdor: Bitwise parallel association rule mining for web page recommendation. IEEE/WIC/ACM WI 2017: 662-669
  16. Carson K. Leung: Mathematical model for propagation of influence in a social network. Encyclopedia of Social Network Analysis and Mining, Second Edition: (10 pages) (2017) ISBN 978-1-4614-7163-9
  17. Carson K. Leung: Data and visual analytics for emerging databases. EDB 2017 (LNEE 461): 203-213 [UBC]
  18. Karl E. Dierckens, Adrian B. Harrison, Carson K. Leung, Adrienne V. Pind: A data science and engineering solution for fast k-means clustering of big data. IEEE TrustCom-BigDataSE-ICESS (IEEE BigDataSE) 2017: 925-932
  19. Carson K. Leung, Fan Jiang: Efficient mining of 'following' patterns from very big but sparse social networks. IEEE/ACM ASONAM (FAB) 2017: 1025-1032
  20. Ashis Kumar Chanda, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung: A new framework for mining weighted periodic patterns in time series databases. Expert Systems with Applications (ESWA) 79: 207-224 (August 2017)
  21. Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G.M. Pazdor, Syed K. Tanbeer: Mining frequent patterns from IoT devices with fog computing. HPCS 2017: 691-698
  22. Deepankar Choudhery, Carson K. Leung: Social media mining: prediction of box office revenue. IDEAS 2017: 20-29
  23. Rich C. Lee, Alfredo Cuzzocrea, Wookey Lee, Carson K. Leung. Majority voting mechanism in interactive social network clustering. ACM WISM 2017: 14:1-14:10 (art. 14)
  24. Alfredo Cuzzocrea, Carson Kai-Sang Leung, Fan Jiang, Richard Kyle MacKinnon: Complex mining from uncertain big data in distributed environments: problems, definitions and two effective and efficient algorithms. Big Data Management and Processing: 297-332 (ch. 15) (June 2017) ISBN 978-1498768078 [UBC]
  25. Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang: Finding efficiencies in frequent pattern mining from big uncertain data. World Wide Web 20(3), special issue on big data and smart computing: 571-594 (May 2017)
  26. Prawit Buayai, Tatpong Kantanukul, Carson K. Leung, Kanda Runapongsa Saikaew: Boundary detection of pigs in pens based on adaptive thresholding using the integral image and adaptive partitioning. CMU Journal of Natural Sciences 16(2): 145-155 (April-June 2017) EISSN 2465-4337 [KKU-IENC16]
  27. Carson K. Leung, Christopher L. Carmichael, Patrick Johnstone, Roy Ruokun Xing, David Sonny Hung-Cheung Yuen: Interactive visual analytics of big data. Ontologies and Big Data Considerations for Effective Intelligence: 1-26 (ch. 1) (February 2017) ISBN 978-1-5225-2058-0 [IGI Global]
  28. Carson K. Leung, Fan Jiang, Edson M. Dela Cruz, Vijay Sekar Elango: Association rule mining in collaborative filtering. Collaborative Filtering Using Data Mining and Analysis: 159-179 (ch.9) (2017) ISBN 978-1-5225-0489-4 [IGI Global]
  29. 2016

  30. Fan Jiang, Carson K. Leung, Oluwafemi A. Sarumi, Christine Y. Zhang: Mining sequential patterns from uncertain big DNA data in the Spark framework. IEEE BIBM 2016: 874-881
  31. Carson K. Leung, Peter Braun, Murun Enkhee, Adam G.M. Pazdor, Oluwafemi A. Sarumi, Kimberly Tran: Knowledge discovery from big social key-value data. IEEE CIT (SC2) 2016: 484-491
  32. Md Naimul Hoque, Chowdhury Farhan Ahmed, Nicolas Lachiche, Carson K. Leung, Hao Zhang: Reframing in clustering. IEEE ICTAI 2016: 350-354
  33. Md. Badi-Uz-Zaman Shajib, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G.M. Pazdor: An efficient approach for mining frequent patterns over uncertain data streams. IEEE ICTAI 2016: 980-984
  34. Chaluemwut Noyunsan, Tatpong Katanyukul, Carson K. Leung, Kanda Runapongsa Saikaew: Effects of the inclusion of non-newsworthy messages in credibility assessment. MICAI 2016, Part I (LNAI 10061): 185-195
  35. Carson K. Leung (ed.): Proceedings of the Sixth International Conference on Emerging Databases (EDB 2016) (ACM ICPS 1213), Jeju Island, South Korea, October 17-19, 2016, ACM Press, ISBN 978-1-4503-4754-9
  36. Fan Jiang, Carson K. Leung, Adam G.M. Pazdor: Web page recommendation based on bitwise frequent pattern mining. IEEE/WIC/ACM WI 2016: 632-635
  37. Patrick M.J. Dubois, Zhao Han, Fan Jiang, Carson K. Leung: An interactive circular visual analytic tool for visualization of web data. IEEE/WIC/ACM WI 2016: 709-712
  38. Alfredo Cuzzocrea, Giorgio M. Grasso, Fan Jiang, Carson K. Leung: Mining uplink-downlink user association in wireless heterogeneous networks. IDEAL 2016 (LNCS 9937): 533-541
  39. Carson Kai-Sang Leung, Fan Jiang, Adam G.M. Pazdor, Aaron M. Peddle: Parallel social network mining for interesting 'following' patterns. Concurrency and Computation: Practice & Experience 28(15), special issue of DaWaK 2014: 3994-4012 (October 2016)
  40. Fan Jiang, Carson K. Leung, Hao Zhang: B-mine: frequent pattern mining and its application to knowledge discovery from social networks. APWeb 2016, Part I (LNCS 9931): 316-328
  41. Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang, Vadim V. Kononov, Adam G.M. Pazdor: Data mining meets HCI: data and visual analytics of frequent patterns. ECML-PKDD 2016, Part III (LNAI 9853): 289-293
  42. Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G.M. Pazdor, Kimberly Tran: Knowledge discovery from social graph data. Procedia Computer Science 96, special issue of KES 2016: 682-691 (2016)
  43. Fan Jiang, Carson K. Leung, Adam G.M. Pazdor: Big data mining of social networks for friend recommendation. IEEE/ACM ASONAM (FAB) 2016: 921-922
  44. Carson K. Leung, Edson M. Dela Cruz, Trevor L. Cook, Fan Jiang: Mining 'following' patterns from big sparse social networks. IEEE/ACM ASONAM (FAB) 2016: 923-930. Best Paper of FAB 2016
  45. Carson K. Leung, Fan Jiang, Hao Zhang, Adam G.M. Pazdor: A data science model for big data analytics of frequent patterns. IEEE DASC-PICom-DataCom-CyberSciTech (IEEE DataCom) 2016: 866-873
  46. Carson K. Leung, Vadim V. Kononov, Adam G.M. Pazdor, Fan Jiang: PyramidViz: Visual analytics and big data visualization of frequent patterns. IEEE DASC-PICom-DataCom-CyberSciTech (IEEE DataCom) 2016: 913-916
  47. Akiz Uddin Ahmed, Chowdhury Farhan Ahmed, Md. Samiullah, Nahim Adnan, Carson K. Leung: Mining interesting patterns from uncertain databases. Information Sciences 354: 60-85 (August 2016)
  48. Shelby D. Bernhard, Carson K. Leung, Vanessa J. Reimer, Joshua Westlake: Clickstream prediction using sequential stream mining techniques with Markov chains. IDEAS 2016: 24-33
  49. Alfredo Cuzzocrea, Carson K. Leung: Computing theoretically-sound upper bounds to expected support for frequent pattern mining problems over uncertain big data. IPMU 2016, Part II (CCIS 611): 379-392
  50. Carson K. Leung, Hao Zhang: Management of distributed big data for social networks. IEEE/ACM CCGrid 2016: 639-648
  51. Carson K. Leung, Syed K. Tanbeer, Alfredo Cuzzocrea, Peter Braun, Richard Kyle MacKinnon: Interactive mining of diverse social entities. International Journal of Knowledge-based and Intelligent Engineering Systems (KES Journal) 20(2): 97-111 (May 2016) [UBC]
  52. 2015

  53. Fan Jiang, Carson K. Leung: A data analytic algorithm for managing, querying, and processing uncertain big data in cloud environments. Algorithms 8(4), special issue on algorithms for managing, querying and processing big data in cloud environments: 1175-1194 (December 2015)
  54. Fan Jiang, Carson K. Leung, Dacheng Liu: Efficiency improvements in social network communication via MapReduce. IEEE DSDIS (IEEE CPSCom) 2015: 161-168
  55. Quazi Marufur Rahman, Anna Fariha, Amit Mandal, Chowdhury Farhan Ahmed, Carson K. Leung: A sliding window-based algorithm for detecting leaders from social network action streams. IEEE/WIC/ACM WI-IAT 2015, Vol. 1: 133-136
  56. Richard Kyle MacKinnon, Carson K. Leung: Stock price prediction in undirected graphs using a structural support vector machine. IEEE/WIC/ACM WI-IAT 2015, Vol. 1: 548-555
  57. Carson K. Leung, Aziz Nasridinov (eds.): Proceedings of the 2015 International Conference on Big Data Applications and Services (BigDAS 2015) (ACM ICPS 1109), Jeju Island, South Korea, October 20-23, 2015, ACM Press, ISBN 978-1-4503-3846-2
  58. Carson K. Leung: Big data mining applications and services. BigDAS 2015: 1-8
  59. Zhao Han, Carson K. Leung: FIMaaS: Scalable frequent itemset mining-as-a-service on cloud for non-expert miners. BigDAS 2015: 84-91
  60. Anna Fariha, Chowdhury Farhan Ahmed, Carson K. Leung, Md. Samiullah, Suraiya Pervin, Longbing Cao: A new framework for mining frequent interaction patterns from meeting databases. Engineering Applications of Artificial Intelligence (EAAI) 45: 103-118 (October 2015)
  61. Wenzhu Tong, Carson K. Leung, Dacheng Liu, Jialiang Yu: Probabilistic frequent pattern mining by PUH-Mine. APWeb 2015 (LNCS 9313): 768-780
  62. Alfredo Cuzzocrea, Zhao Han, Fan Jiang, Carson K. Leung, Hao Zhang: Edge-based mining of frequent subgraphs from graph streams. Procedia Computer Science 60, special issue of KES 2015: 573-582 (2015)
  63. Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon: Approximation to expected support of frequent itemsets in mining probabilistic sets of uncertain data. Procedia Computer Science 60, special issue of KES 2015: 613-622 (2015)
  64. Kyoji Kawagoe, Carson Kai-Sang Leung: Similarities of frequent following patterns and social entities. Procedia Computer Science 60, special issue of KES 2015: 642-651 (2015)
  65. Carson Kai-Sang Leung, Richard Kyle MacKinnon: Balancing tree size and accuracy in fast mining of uncertain frequent patterns. DaWaK 2015 (LNCS 9263): 57-69
  66. Carson Kai-Sang Leung, Fan Jiang: Big data analytics of social networks for the discovery of "following" patterns. DaWaK 2015 (LNCS 9263): 123-135
  67. Carson Leung: Big data mining and computing in a smart world. UIC-ATC-ScalCom-CBDCom-IoP 2015: xcviii
  68. Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung, Dacheng Liu, Aaron Peddle, Syed K. Tanbeer: Mining popular patterns: a novel mining problem and its application to static transactional databases and dynamic data streams. LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS) XXI (LNCS 9260), selected papers from DaWaK 2012: 115-139 (2015)
  69. Carson K. Leung, Alfredo Cuzzocrea: Frequent subgraph mining from streams of uncertain data. C3S2E 2015: 18-27
  70. Fan Jiang, Kyoji Kawagoe, Carson K. Leung: Big social network mining for "following" patterns. C3S2E 2015: 28-37
  71. Alfredo Cuzzocrea, Wookey Lee, Carson K. Leung: High-recall information retrieval from linked big data. IEEE COMPSAC (WEDA) 2015, Vol. 2: 712-717
  72. Alfredo Cuzzocrea, Carson K. Leung: Upper bounds to expected support for frequent itemset mining of uncertain big data. ACM SAC (DM) 2015 (Vol. I): 919-921
  73. Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Frequent subgraph mining from streams of linked graph structured data. EDBT/ICDT Workshops (LWDM) 2015 (CEUR-WS 1330): 237-244 [CEUR-WS]
  74. 2014

  75. Carson Kai-Sang Leung, Richard Kyle MacKinnon, Syed K. Tanbeer: Fast algorithms for frequent itemset mining from uncertain data. IEEE ICDM 2014: 893-898
  76. Fan Jiang, Carson Kai-Sang Leung: A business intelligence solution for frequent pattern mining on social networks. IEEE ICDM Workshops (BASNA) 2014: 789-796
  77. Richard Kyle MacKinnon, Teagan D. Strauss, Carson Kai-Sang Leung: DISC: Efficient uncertain frequent pattern mining with tightened upper bounds. IEEE ICDM Workshops (SDA) 2014: 1038-1045
  78. Carson Kai-Sang Leung, Fan Jiang: A data science solution for mining interesting patterns from uncertain big data. IEEE BDCloud 2014: 235-242
  79. Fan Jiang, Carson Kai-Sang Leung, Dacheng Liu, Aaron M. Peddle: Discovery of really popular friends from social networks. IEEE BDCloud (IEEE SocialCom) 2014: 342-349
  80. Wookey Lee, Carson Kai-Sang Leung, Justin JongSu Song: Reducing noises for recall-oriented patent retrieval. IEEE BDCloud (IEEE SocialCom) 2014: 579-586
  81. Carson Kai-Sang Leung, Syed K. Tanbeer, Juan J. Cameron: Interactive discovery of influential friends from social networks. Social Network Analysis and Mining 4(1), special issue of CASoN 2012: art.154 (13 pages) (December 2014)
  82. Carson Kai-Sang Leung: Uncertain frequent pattern mining. Frequent Pattern Mining: 417-453 (ch.14) (October 2014) ISBN 978-3-319-07820-5
  83. Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon, Syed K. Tanbeer: A tree-based algorithm for mining diverse social entities. Procedia Computer Science 35, special issue of KES 2014: 223-232 (2014)
  84. Carson K. Leung, Richard Kyle MacKinnon, Syed K. Tanbeer: Tightening upper bounds to the expected support for uncertain frequent pattern mining. Procedia Computer Science 35, special issue of KES 2014: 328-337 (2014)
  85. Peter Braun, Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Effectively and efficiently mining frequent patterns from dense graph streams on disk. Procedia Computer Science 35, special issue of KES 2014: 338-347 (2014)
  86. Carson K. Leung, Kyle W. Joseph: Sports data mining: Predicting results for the college football games. Procedia Computer Science 35, special issue of KES 2014: 710-719 (2014)
  87. Alfredo Cuzzocrea, Fan Jiang, Wookey Lee, Carson K. Leung: Efficient frequent itemset mining from dense data streams. APWeb 2014 (LNCS 8709): 593-601
  88. Carson Kai-Sang Leung, Richard Kyle MacKinnon: BLIMP: A compact tree structure for uncertain frequent pattern mining. DaWaK 2014 (LNCS 8646): 115-123
  89. Fan Jiang, Carson Kai-Sang Leung: Mining interesting "following" patterns from social networks. DaWaK 2014 (LNCS 8646): 308-319
  90. Carson Kai-Sang Leung, Richard Kyle MacKinnon, Yang Wang: A machine learning approach for stock price prediction. IDEAS 2014: 274-277
  91. Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang: Reducing the search space for big data mining for interesting patterns from uncertain data. IEEE BigData Congress 2014: 315-322
  92. Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon: Mining constrained frequent itemsets from distributed uncertain data. Future Generation Computer Systems (FGCS) 37, special issue on innovative methods and algorithms for advanced data-intensive computing: 117-126 (July 2014)
  93. Richard Kyle MacKinnon, Carson Kai-Sang Leung, Syed K. Tanbeer: A scalable data analytics algorithm for mining frequent patterns from uncertain data. PAKDD Workshops (SDA) 2014 (LNAI 8643): 404-416
  94. Fan Jiang, Carson Kai-Sang Leung, Richard Kyle MacKinnon: BigSAM: Mining interesting patterns from probabilistic databases of uncertain big data. PAKDD Workshops (BigPMA) 2014 (LNAI 8643): 780-792
  95. Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang: Distributed uncertain data mining for frequent patterns satisfying anti-monotonic constraints. IEEE AINA Workshops (BICom) 2014: 1-6
  96. Syed K. Tanbeer, Carson K. Leung, Juan J. Cameron: Interactive mining of strong friends from social networks and its applications in e-commerce. Journal of Organizational Computing and Electronic Commerce (JOCEC) 24(2-3), special issue on social computing and social networks: 157-173 (2014) [T&F]
  97. Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Frequent pattern mining from dense graph streams. EDBT/ICDT Workshops (GraphQ) 2014 (CEUR-WS 1133): 240-247 [CEUR-WS]
  98. Alfredo Cuzzocrea, Carson K. Leung, Syed K. Tanbeer: Mining of diverse social entities from linked data. EDBT/ICDT Workshops (LWDM) 2014 (CEUR-WS 1133): 269-274 [CEUR-WS]
  99. Carson Kai-Sang Leung: Big data mining and analytics. Encyclopedia of Business Analytics and Optimization (Vol. I): 328-337 (ch.30) (February 2014) ISBN 978-1-4666-5202-6 [IGI Global]
  100. 2013

  101. Carson K. S. Leung, Christopher L. Carmichael, Patrick Johnstone, David Sonny Hung-Cheung Yuen: Interactive visual analytics of databases and frequent sets. International Journal of Information Retrieval Research (IJIRR) 3(4): 120-140 (art. 7) (October-December 2013) [IGI Global]
  102. Fan Jiang, Carson Kai-Sang Leung: Stream mining of frequent patterns from delayed batches of uncertain data. DaWaK 2013 (LNCS 8057): 209-221
  103. Carson Kai-Sang Leung: Mining frequent itemsets from probabilistic datasets. EDB 2013: 137-148
  104. Syed Khairuzzaman Tanbeer, Fan Jiang, Carson Kai-Sang Leung, Richard Kyle MacKinnon, Irish J.M. Medina: Finding groups of friends who are significant across multiple domains in social networks. CASoN 2013: 21-26 [MIR Labs]
  105. Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Mining frequent itemsets from sparse data streams in limited memory environments. WAIM 2013 (LNCS 7923): 51-57
  106. Carson Kai-Sang Leung, Yaroslav Hayduk: Mining frequent patterns from uncertain data with MapReduce for big data analytics. DASFAA 2013, Part I (LNCS 7825): 440-455
  107. Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer: PUF-tree: a compact tree structure for frequent pattern mining of uncertain data. PAKDD 2013, Part I (LNAI 7818): 13-25
  108. Anna Fariha, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung, S. M. Abdullah, Longbing Cao: Mining frequent patterns from human interactions in meetings using directed acyclic graphs. PAKDD 2013, Part I (LNAI 7818): 38-49
  109. Syed Khairuzzaman Tanbeer, Carson Kai-Sang Leung: Finding diverse friends in social networks. APWeb 2013 (LNCS 7808): 301-309
  110. Juan J. Cameron, Alfredo Cuzzocrea, Carson K. Leung: Stream mining of frequent sets with limited memory. ACM SAC (DM) 2013 (Vol. I): 173-175
  111. Carson Kai-Sang Leung, Alfredo Cuzzocrea, Fan Jiang: Discovering frequent patterns from uncertain data streams with time-fading and landmark models. LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS) VIII (LNCS 7790), special issue on advances in data warehousing and knowledge discovery: 174-196 (2013)
  112. Carson K.-S. Leung, Irish J. M. Medina, Syed K. Tanbeer: Analyzing social networks to mine important friends. Social Media Mining and Social Network Analysis: Emerging Research: 90-104 (ch.6) (January 2013) ISBN 978-1-4666-2806-9 [IGI Global]
  113. 2012

  114. Alfredo Cuzzocrea, Carson K. Leung: Efficiently compressing OLAP data cubes via R-tree based recursive partitions. ISMIS 2012 (LNAI 7661): 455-465
  115. Syed K. Tanbeer, Carson Kai-Sang Leung, Juan J. Cameron: DIFSoN: Discovering influential friends from social networks. CASoN 2012: 120-125
  116. Fan Jiang, Carson Kai-Sang Leung, Syed K. Tanbeer: Finding popular friends in social networks. CGC (SCA) 2012: 501-508
  117. Wookey Lee, Carson Kai-Sang Leung, Justin Jongsu Song, Chris Soo-Hyun Eom: A network-flow based influence propagation model for social networks. CGC (SCA) 2012: 601-608. Best Paper of SCA 2012.
  118. Bhavek P. Budhia, Alfredo Cuzzocrea, Carson K. Leung: Vertical frequent pattern mining from uncertain data. KES 2012 (FAIA 243): 1273-1282 [EBSCO host]
  119. Nidhi R. Arora, Wookey Lee, Carson Kai-Sang Leung, Jinho Kim, Harshit Kumar: Efficient fuzzy ranking for keyword search on graphs. DEXA 2012, Part I (LNCS 7446): 502-510
  120. Carson Kai-Sang Leung, Syed K. Tanbeer: Mining popular patterns from transactional databases. DaWaK 2012 (LNCS 7448): 291-302
  121. Carson Kai-Sang Leung, Fan Jiang, Lijing Sun, Yan Wang: A constrained frequent pattern mining system for handling aggregate constraints. IDEAS 2012: 14-23
  122. Carson Kai-Sang Leung, Syed K. Tanbeer, Bhavek P. Budhia, Lauren C. Zacharias: Mining probabilistic datasets vertically. IDEAS 2012: 199-204
  123. Alfredo Cuzzocrea, Carson K. Leung: Frequent itemset mining of distributed uncertain data under user-defined constraints. SEBD 2012: 243-250 [UniPD]
  124. Carson Kai-Sang Leung, Fan Jiang: RadialViz: An orientation-free frequent pattern visualizer. PAKDD 2012, Part II (LNAI 7302): 322-334
  125. Carson Kai-Sang Leung, Syed K. Tanbeer: Fast tree-based mining of frequent itemsets from uncertain data. DASFAA 2012, Part I (LNCS 7238): 272-287
  126. Carson Kai-Sang Leung, Syed K. Tanbeer: Mining social networks for significant friend groups. DASFAA Workshops (SNSM) 2012 (LNCS 7240): 180-192
  127. Carson Kai-Sang Leung, Lijing Sun: A new class of constraints for constrained frequent pattern mining. ACM SAC (DM) 2012 (Vol. I): 199-204
  128. 2011

  129. Juan J. Cameron, Carson Kai-Sang Leung, Syed K. Tanbeer: Finding strong groups of friends among friends in social networks. IEEE DASC (SCA) 2011: 824-831
  130. Carson Kai-Sang Leung, Fan Jiang, Pourang P. Irani: FpMapViz: A space-filling visualization for frequent patterns. IEEE ICDM Workshops (LSVA) 2011: 804-811
  131. Christopher L. Carmichael, Yaroslav Hayduk, Carson Kai-Sang Leung: Visually contrast two collections of frequent patterns. IEEE ICDM Workshops (ContrastDM) 2011: 1128-1135
  132. Alfredo Cuzzocrea, Carson K. Leung: Distributed mining of constrained frequent sets from uncertain data. ICA3PP 2011, Part I (LNCS 7016): 40-53
  133. Carson Kai-Sang Leung, Fan Jiang, Yaroslav Hayduk: A landmark-model based system for mining frequent patterns from uncertain data streams. IDEAS 2011: 249-250
  134. Nihad K. Chowdhury, Carson K.-S. Leung: Improved travel time prediction algorithms for intelligent transportation systems. KES 2011, Part II (LNAI 6882): 355-365
  135. Carson Kai-Sang Leung, Fan Jiang: Frequent pattern mining from time-fading streams of uncertain data. DaWaK 2011 (LNCS 6862): 252-264
  136. Carson Kai-Sang Leung, Christopher L. Carmichael, Eu Wern Teh: Visual analytics of social networks: mining and visualizing co-authorship networks. HCII 2011 (Vol. 20), FAC 2011 (LNAI 6780): 335-345
  137. Carson Kai-Sang Leung: Mining uncertain data. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (WIDM) 1(4): 316-329 (July/August 2011)
  138. Wookey Lee, Carson K.-S. Leung, James J.H. Lee: Mobile web navigation in digital ecosystems using rooted directed trees. IEEE Transactions on Industrial Electronics (TIE) 58(6), special issue on digital ecosystems and cyber engineering: 2154-2162 (June 2011)
  139. Juan J. Cameron, Carson K. Leung: Mining frequent patterns from precise and uncertain data. Computing and System Journal (RSC) 1(1): 3-22 (January-June 2011) ISSN 2237-2903 [UniFacS]
  140. Wookey Lee, Justin JongSu Song, Carson K.-S. Leung: Categorical data skyline using classification tree. APWeb 2011 (LNCS 6612): 181-187
  141. Carson Kai-Sang Leung, Fan Jiang: Frequent itemset mining of uncertain data streams using the damped window model. ACM SAC (DM) 2011 (Vol. II): 950-955
  142. Carson Kai-Sang Leung, Lijing Sun: Equivalence class transformation based mining of frequent itemsets from uncertain data. ACM SAC (DM) 2011 (Vol. II): 983-984
  143. Carson K.-S. Leung, Christopher L. Carmichael: iVAS: An interactive visual analytic system for frequent set mining. Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications: 213-231 (ch.13) (2011) ISBN 978-1-60960-102-7 [ebrary]
  144. 2010

  145. Hossein Pourreza, Sergio Camorlinga, Carson K.-S. Leung, Bruce D. Martin: An information and communication technology system to support rural healthcare delivery. ACM IHI 2010: 440-444
  146. Carson Kai-Sang Leung, Christopher L. Carmichael: Exploring social networks: A frequent pattern visualization approach. IEEE SocialCom 2010: 419-424
  147. Carson Kai-Sang Leung, Dale A. Brajczuk: uCFS2: An enhanced system that mines uncertain data for constrained frequent sets. IDEAS 2010: 32-37
  148. Christopher L. Carmichael, Carson Kai-Sang Leung: CloseViz: Visualizing useful patterns. ACM SIGKDD Workshop on Useful Patterns 2010 (KDD-UP'10): 17-26
  149. Bipin C. Desai, Carson K. Leung, Sudhir P. Mudur (eds.): Proceedings of the Third C* Conference on Computer Science & Software Engineering (C3S2E 2010), Montréal, Quebec, Canada, May 19-20, 2010, ACM Press, ISBN 978-1-60558-901-5 [ACM]
  150. Carson Kai-Sang Leung, Boyu Hao, Dale A. Brajczuk: Mining uncertain data for frequent itemsets that satisfy aggregate constraints. ACM SAC (DM) 2010 (Vol. II): 1034-1038
  151. Carson Kai-Sang Leung, Boyu Hao, Fan Jiang: Constrained frequent itemset mining from uncertain data streams. IEEE ICDE Workshops (MOUND) 2010: 120-127
  152. 2009

  153. Carson Kai-Sang Leung, Christopher L. Carmichael: FpVAT: A visual analytic tool for supporting frequent pattern mining. ACM SIGKDD Explorations 11(2), special issue on visual analytics and knowledge discovery: 39-48 (December 2009) [KDD]
  154. Carson Kai-Sang Leung, Dale A. Brajczuk: Efficient algorithms for the mining of constrained frequent patterns from uncertain data. ACM SIGKDD Explorations 11(2): 123-130 (December 2009) [KDD]
  155. Wookey Lee, James Jung-Hoon Lee, Young Kuk Kim, Carson Kai-Sang Leung: AnchorWoman: Top-k structured mobile web search engine. ACM CIKM 2009: 2089-2090
  156. Carson Kai-Sang Leung, Dale A. Brajczuk: Mining uncertain data for constrained frequent sets. IDEAS 2009: 109-120
  157. Carson Kai-Sang Leung: Anti-monotone constraints. Encyclopedia of Database Systems: 98 (2009) ISBN 978-0-387-35544-3
  158. Carson Kai-Sang Leung: Convertible constraints. Encyclopedia of Database Systems: 494-495 (2009) ISBN 978-0-387-35544-3
  159. Carson Kai-Sang Leung: Frequent itemset mining with constraints. Encyclopedia of Database Systems: 1179-1183 (2009) ISBN 978-0-387-35544-3
  160. Carson Kai-Sang Leung: Monotone constraints. Encyclopedia of Database Systems: 1769 (2009) ISBN 978-0-387-35544-3
  161. Carson Kai-Sang Leung: Succinct constraints. Encyclopedia of Database Systems: 2876 (2009) ISBN 978-0-387-35544-3
  162. Carson Kai-Sang Leung, Dale A. Brajczuk: Efficient algorithms for mining constrained frequent patterns from uncertain data. ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data 2009 (KDD-U'09): 9-18
  163. Carson Kai-Sang Leung, Christopher L. Carmichael: FpViz: A visualizer for frequent pattern mining. ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery 2009 (KDD-VAKD'09): 30-39
  164. Bipin C. Desai, Carson K. Leung, Olga Ormandjieva (eds.): Proceedings of the Second Canadian Conference on Computer Science & Software Engineering (C3S2E 2009), Montréal, Quebec, Canada, May 19-21, 2009, ACM Press, ISBN 978-1-60558-401-0 [ACM]
  165. Carson Kai-Sang Leung, Boyu Hao: Mining of frequent itemsets from streams of uncertain data. IEEE ICDE 2009: 1663-1670
  166. Wookey Lee, Carson K.-S. Leung: Structural top-k web navigation with inclusive query. IEEE ICIT 2009
  167. Mark Anthony F. Mateo, Carson Kai-Sang Leung: CHARIOT: A comprehensive data integration and quality assurance model for agro-meteorological data. Data Quality and High-Dimensional Data Analysis: 21-41 (ch.3) (February 2009) ISBN 978-981-4273-48-0 [DASFAA08w (DataQuality), EBSCOhost, ebrary]
  168. Carson Kai-Sang Leung: Constraint-based association rule mining. Encyclopedia of Data Warehousing and Mining, Second Edition (Vol. I): 307-312 (ch.49) (2009) ISBN 978-1-60566-010-3
  169. 2008

  170. Carson Kai-Sang Leung, Pourang P. Irani, Christopher L. Carmichael: WiFIsViz: Effective visualization of frequent itemsets. IEEE ICDM 2008: 875-880
  171. Carson Kai-Sang Leung, Dale A. Brajczuk, Jialiang Yu: Efficient algorithms for stream mining of constrained frequent patterns in a limited memory environment. IDEAS 2008: 189-198
  172. Carson Kai-Sang Leung, Dale A. Brajczuk: Efficient mining of frequent itemsets from data streams. BNCOD 2008 (LNCS 5071): 2-14
  173. Carson Kai-Sang Leung, Pourang P. Irani, Christopher L. Carmichael: FIsViz: A frequent itemset visualizer. PAKDD 2008 (LNAI 5012): 644-652
  174. Carson Kai-Sang Leung, Mark Anthony F. Mateo, Dale A. Brajczuk: A tree-based approach for frequent pattern mining from uncertain data. PAKDD 2008 (LNAI 5012): 653-661
  175. Mark Anthony F. Mateo, Carson Kai-Sang Leung: Design and development of a prototype system for detecting abnormal weather observations. C3S2E 2008: 45-59
  176. Boyu Hao, Carson Kai-Sang Leung, Sergio Camorlinga, Martin H. Reed, Martin K. Bunge, Jens Wrogemann, Rick J. Higgins: A computer-aided change detection system for paediatric acute intracranial haemorrhage. C3S2E 2008: 109-111
  177. 2007

  178. Carson Kai-Sang Leung, Christopher L. Carmichael, Boyu Hao: Efficient mining of frequent patterns from uncertain data. IEEE ICDM Workshops (DUNE) 2007: 489-494
  179. Carson Kai-Sang Leung, Mark Anthony F. Mateo, Andrew J. Nadler: An effective multi-layer model for controlling the quality of data. IDEAS 2007: 28-36
  180. Carson K.-S. Leung, Mark A. F. Mateo, Andrew J. Nadler: CAMEL: An intelligent computational model for agro-meteorological data. ICMLC 2007 (Vol. 4): 1960-1965
  181. Carson Kai-Sang Leung, Quamrul I. Khan, Zhan Li, Tariqul Hoque: CanTree: A canonical-order tree for incremental frequent-pattern mining. Knowledge and Information Systems (KAIS) 11(3): 287-311 (April 2007)
  182. 2006

  183. Carson Kai-Sang Leung, Quamrul I. Khan: DSTree: A tree structure for the mining of frequent sets from data streams. IEEE ICDM 2006: 928-932
  184. Carson Kai-Sang Leung, Quamrul I. Khan, Boyu Hao: Distributed mining of constrained patterns from wireless sensor data. IEEE/WIC/ACM WI-IAT Workshops (IA-WSN) 2006: 248-251
  185. Carson Kai-Sang Leung, Quamrul I. Khan: Efficient mining of constrained frequent patterns from streams. IDEAS 2006: 61-68
  186. Carson Kai-Sang Leung, Ruppa K. Thulasiram, Dmitri A. Bondarenko: An efficient system for detecting outliers from financial time series. BNCOD 2006 (LNCS 4042): 190-198
  187. Carson Kai-Sang Leung, Wookey Lee: Efficient update of data warehouse views with generalised referential integrity differential files. BNCOD 2006 (LNCS 4042): 199-211
  188. 2005

  189. Carson Kai-Sang Leung, Quamrul I. Khan, Tariqul Hoque: CanTree: A tree structure for efficient incremental mining of frequent patterns. IEEE ICDM 2005: 274-281
  190. Carson K.-S. Leung, Ruppa K. Thulasiram, Dmitri A. Bondarenko: Using data mining techniques for detecting noises and pre-processing financial time series. JCIS (CIEF) 2005 (Vol. 2): 1138-1141
  191. Carson Kai-Sang Leung, Wookey Lee: Exploitation of referential integrity constraints for efficient update of data warehouse views. BNCOD 2005 (LNCS 3567): 98-110
  192. 2004

  193. Carson Kai-Sang Leung: Interactive constrained frequent-pattern mining system. IDEAS 2004: 49-58
  194. Carson Kai-Sang Leung: Dynamic FP-tree based mining of frequent patterns satisfying succinct constraints. CDB 2004 (LNCS 3074): 117-132
  195. Carson Kai-Sang Leung: Efficient parallel mining of constrained frequent patterns. HPCS 2004: 73-82
  196. 2003

  197. Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng: Efficient dynamic mining of constrained frequent sets. ACM Transactions on Database Systems (TODS) 28(4): 337-389 (December 2003)
  198. 2002

  199. Carson Kai-Sang Leung, Laks V. S. Lakshmanan, Raymond T. Ng: Exploiting succinct constraints using FP-trees. ACM SIGKDD Explorations 4(1), special issue on constraints in data mining: 40-49 (June 2002) [KDD]
  200. Carson Kai-Sang Leung, Raymond T. Ng, Heikki Mannila: OSSM: A segmentation approach to optimize frequency counting. IEEE ICDE 2002: 583-592
  201. 2000

  202. Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng: The segment support map: Scalable mining of frequent itemsets. ACM SIGKDD Explorations 2(2), special issue on scalable data mining algorithms: 21-27 (December 2000) [KDD]
  203. 1998

  204. Kai-Sang Leung, Raymond Ng: Multiscale similarity matching for subimage queries of arbitrary size. Visual Database Systems 4: 243-264 (ch.21) (1998) ISBN 0-412-84400-1 [UBC]
  205. Kai-Sang Leung, Raymond Ng: Multiresolution subimage similarity matching for large image databases. IS&T/SPIE Storage and Retrieval for Image and Video Databases VI (SPIE Proceedings Vol. 3312): 259-270 (1998) [UBC]