Recent Publications (1994 - )

Book Publication

  1. Paolo Atzeni, David W. Cheung, Sudha Ram (eds.), Conceptual Modeling. Lecture Notes in Computer Science 7532, ISBN 978-3-642-34001-7, Springer, Oct 2012.

  2. David W. Cheung, Il-Yeol Song, Wesley W. Chu, Xiaohua Hu, Jimmy J. Lin (eds.), Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009, ISBN 978-1-60558-512-3, ACM, November 2009.

  3. Tu Bao Ho, David W. Cheung, Huan Liu (eds.), Advances in Knowledge Discovery and Data Mining, LNAI 3518, ISBN 3-540-26075-5, Springer Verlag, April 2005.

  4. David W. Cheung, G. J. Williams and Q. Li (eds.), Advances in Knowledge Discovery and Data Mining, LNAI 2035, ISBN 3-540-41910-1, Springer Verlag, April 2001.

Book Chapters

  1. Minghua Zhang, Ben Kao, David W. Cheung and C.L. Yip, Mining Sequence Patterns in Evolving Databases, Temporal and Spatio-Temporal Data Mining, Idea Group Inc., 2007.

  2. B. Kao and David W. Cheung, Information Discovery on the World-Wide-Web, Multimedia Information Retrieval and Management, Technology Fundamentals and Applications, ISBN 3-540-00244-8, Springer, 2003.

  3. W.K. Ching, J.Z. Huang, David W. Cheung, K. Ng and K.P. Ng, A Cube Model and Cluster Analysis for Web Access Sessions, Lecture Notes in Artificial Intelligence. Springer, 2002, 2356: 48-67.

  4. David W. Cheung, and S.D. Lee, Parallel Mining of Association Rules, Knowledge Discovery for Business Information Systems, ISBN 0-7923-7243-3, Kluwer Academic Publishers (Boston), November 2000.

  5. David W. Cheung, and S.D. Lee, Maintenance of Discovered Association Rules; Knowledge Discovery for Business Information Systems, ISBN 0-7923-7243-3, Kluwer Academic Publishers (Boston), November 2000.

Journal Papers

  1. Y. Zhang, W. K. Wong, S.M. Yiu, N. Mamoulis, and David W. Cheung, Lightweight Privacy-Preserving Peer-to-Peer Data Integration, Proceedings of the VLDB Endowment (PVLDB), to appear.

  2. Zhizhong Zhang, Chuan Wu and David W. Cheung, A survey on cloud interoperability: taxonomies, standards, and practice, ACM Sigmetrics Performance Evaluation Review, V40, I4, March 2013, p13-22.

  3. Ruibang Luo, et la., SOAP3-dp: Fast, Accurate and Sensitive GPU-based Short Read Aligner, PLOS ONE, 2013.

  4. S. Ge, L. H. U, Nikos Mamoulis, and David W. Cheung, Efficient All Top-k Computation: A unified solution for all top-k, reverse top-k and top-m influential queries, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society, V25, I5, (2013), 1015-1027.

  5. Jian Gong, Reynold Cheng and David W. Cheung, Efficient management of uncertainty in XML schema matching, Very Large Data Base Journal, Springer, V21 N3 (2012), 385-409 .

  6. L. Wang, David W. Cheung, Reynold Cheng, S.D.Lee and Xuan S. Yang, Efficient Mining of Frequent Itemsets on Large Uncertain Databases, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society, V24, N12, 2170-2183, December 2012.

  7. Kevin Y. Yip, Ben Kao, Xinjie Zhu, Chun Kit Chui, Sau Dan Lee, and David W. Cheung, Mining Order-Preserving Submatrices from Data with Repeated Measurements, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society, 2011.

  8. L. Sun, Reynold Cheng, X. Li, David W. Cheung and Jaiwei Han, On Link-based Similarity Join, Proceedings of the VLDB Endowment (PVLDB), V4, N11, 714-725, August 2011.

  9. W.K. Ngai, Ben Kao, Reynold Cheng, Michael Chau, S.D. Lee, David W. Cheung, and Kevin Y. Yip, Metric and Trigonometric Pruning for Clustering Uncertain Data in 2D Geometric Space, Information Systems Journal, Elsevier Science, V6 I2, 476-497, April 2011.

  10. Thomas Y Lee, and David W. Cheung, Formal Models and Algorithms for XML Data Interoperability, Journal of Computing Science and Engineering, KIISE, V4, N4, 313-349, 2010.

  11. S. Zhang, N. Mamoulis, David W. Cheung, and B. Kao, Efficient Skyline Evaluation over Partially Ordered Domains, Proceedings of the VLDB Endowment (PVLDB), 3(1): 1348-1357, September 2010.

  12. Ben Kao, S.D. Lee, F. Lee, David W. Cheung and W.S. Ho, Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index, IEEE Transaction on Knowledge and Data Engineering, IEEE Computer Society, V22, N9, 1219-1233, Sept 2010.

  13. W. K. Wong, David W. Cheung, E. Hung, B. Kao, and N. Mamoulis, An Audit Environment for Outsourcing of Frequent Itemset Mining, Proceedings of the VLDB Endowment (PVLDB), 2(1): 1162-1172, August 2009.

  14. Kevin Yip, Lin Cheung, David W. Cheung, L. Jing and Michael Ng, A Semi-supervised Approach to Projected Clustering with Applications to Microarray Data, International Journal of Data Mining and Bioinformatics, Interscience, V3, 229-259, 2009.

  15. Thomas Lee, C.T. Hon, David W. Cheung, XML Schema Design and Management for e-Government Data Interoperability , The Electronic Journal of e-Government, V7 I4, 381-390, 2009.

  16. Wing-Sze Leung, Marie CM Lin, David W Cheung, Siu-Ming Yiu, Filtering of false positive microRNA candidates by a clustering-based approach, BMC Bioinformatics, 9: 9(Suppl 12): S3, 2008.

  17. W.S. Leung, S.M. Yiu, David W. Cheung, L. Lai, M.C. Lin and H.F. Kung, Computational Prediction on Mammalian and Viral MicroRNAs - a Review, International Journal of Integrative Biology, 1(2), 118-126, 2007.

  18. N. Mamoulis, M.L. Yiu, K.H. Cheng, David W. Cheung, Efficient Top-k Aggregation of Ranked Inputs. ACM Transactions on Database Systems, Association of Computing Machinery, 32(3), August 2007.

  19. Minghua Zhang, Ben Kao, David W. Cheung and Kevin Y. Yip, Mining Periodic Patterns with Gap Requirement from Sequences. ACM Transaction on Knowledge Discovery from Data, Association of Computing Machinery, V1, I2, August 2007.

  20. H. Cao, N. Mamoulis, and David W. Cheung, Discovery of Periodic Patterns in Spatiotemporal Sequences. IEEE Transaction on Knowledge and Data Engineering, IEEE Computer Society, 19(4): 453-467, April 2007.

  21. L. Cheung, Kevin Y. Yip, David W. Cheung, Ben Kao, Michael Ng, On Mining Micro-array data by Order-Preserving Submatrix. International Journal of Bioinformatics Research and Applications, Inder Science Publishers, V3, I1, 2007, pages 42-64 (2007).

  22. Jian Tang, Zhixiang Chen, Ada W.C. Fu, and David W. Cheung, Capabilities of Outlier Detection Schemes in Large Datasets: Framework and Methodologies. Knowledge and Information Systems, Springer, 11(1): 45-84, 2007.

  23. G.Q. Huang, T. Qu, David W. Cheung, and L. Liang, Extensible multi-agent system for optimal design of complex systems using analytical target cascading. International Journal of Advanced Manufacturing Technology, Springer-Verlag, V30, N9-10, pp. 917-926, Oct 2006.

  24. Eric Lo, Kevin Y. Yip, King-Ip Lin, and David W. Cheung, Progressive Skylining over Web-Accessible Databases. Data and Knowledge Engineering, Elsevier Science, V57, I2, pp. 122-147, May 2006.

  25. Eric Lo, David W. Cheung, C. Y. Ng and Thomas Lee, WSIPL: An XML Scripting Language for Integrating Web Service Data and Applications. Web Intelligence and Agent Systems, IOS Press, V4, N1, pp. 25-41, 2006.

  26. David W. Cheung, W. Lian, S. M. Yiu, B. Zhou, Density-Based Mining of Quantitative Association Rules. Computers and Mathematics with Applications, Elsevier Science, V50, I3-4,pp. 471-490, August 2005.

  27. W. Lian, N. Mamoulis, David W. Cheung, and S.M. Yiu, Indexing Useful Structural Patterns for XML Query Processing. IEEE Transaction on Knowledge and Data Engineering, IEEE Computer Society, V17, N17, July 2005.

  28. S. I. Ao, Kevin Yip, Michael Ng, David W. Cheung, Pui-Yee Fong, Ian Melhado and Pak C Sham, CLUSTAG: Hierarchical Clustering and Graph Methods for Selecting Tag SNPs. Bioinformatics, Oxford Press, V21, I8, pp.1735-1736, April, 2005.

  29. Minghua Zhang, Ben Kao, C.L. Yip, and David W. Cheung, Efficient Algorithms for Mining and Incremental Update of Maximal Frequent Sequences. Data Mining and Knowledge Discovery, Kluwer Academic Publishers, Springer, V 10, N2, pp 87-116, March 2005.

  30. Y.T. Shou, Nikos Mamoulis and David W. Cheung, Fast and exact warping of time series using adaptive segmental approximations. Machine Learing, Kluwer Academic Publishers, 58(2-3), pp.231-267, February, 2005.

  31. Kei-Hoi Cheung, Remko de Knikker, Youjun Guo, Guoneng Zhong, Janet Hager, Kevin Y. Yip, Albert K.H. Kwan, Peter Li, and David W. Cheung, Biosphere: The Interoperation of Web Services in Microarray Cluster Analysis. Applied Bioinformatics, vol. 3, no. 4, pp. 253-256, (2004).

  32. Kevin Y. Yip, David W. Cheung and Michael K. Ng, HARP: A Practical Projected Clustering Algorithm . IEEE Transaction on Knowledge and Data Engineering, IEEE Computer Society, V16, N11, pp. 1387 - 1397, Nov. 2004.

  33. Kevin Y. Yip, David W. Cheung, Michael K. Ng, and Kei-Hoi Cheung, Identifying Projected Clusters from Gene Expression Profiles. Journal of Biomedical Informatics, Elsevier Science, vol. 37, issue 5, pp. 345-357, Oct 2004.

  34. E. Hung, David W. Cheung and Ben Kao, Optimization in Data Cube System Design. Journal of Intelligent Information Systems, Kluwer Academic Publishers, V23, I1, pp. 17-45, July 2004.

  35. Remko de Knikker, Youjun Guo, Jin-long Li, Albert K. H. Kwan, Kevin Y. Yip, David W. Cheung and Kei-Hoi Cheung, A Web Services Choreography Scenario for Interoperating Bioinformatics Applications. BMC Bioinformatics, V5, N25, March 2004.

  36. W. Lian, David W. Cheung, Nikos Mamoulis, and S.M. Yiu, An Efficient and Scalable Algorithm for Clustering XML Documents by Structure. Special Issue on Mining and Searching the Web, IEEE Transaction on Knowledge and Data Engineering, IEEE Computer Society, V16, N1, pp. 82-96, January 2004.

  37. K.Y. Yip, M.K.Ng and David W. Cheung, A Review of Projected Clustering Algorithms. International Journal of Applied Mathematics, Academic Publishers, V 13, N 1, pp. 35-47, 2003.

  38. W.K. Sung, D. Yang, S.M. Yiu, David W. Cheung, W.S. Ho, T.W. Lam, S.D. Lee, Automatic Construction of Online Catalog Topologies. IEEE Transactions on Systems, Man, and Cybernetics, Part C, IEEE Publication, V32, N4, 382-391, Nov., 2002.

  39. E. Hung and David W. Cheung, Parallel Mining of Outliers in Large Database. Distributed and Parallel Databases, Kluwer Academic Publishers, V12, 5-26, 2002.

  40. W. Fan, H. Lu, S.E. Madnick and David W. Cheung, Direct: a System for Mining Data Value Conversion Rules from Disparate Sources. Decision Support Systems, Elsevier Science, 34(1), 19-39, 2002.

  41. David W. Cheung, S.D. Lee and Y. Xiao, Effect of Data Skewness and Workload Balance in Parallel Data Mining. IEEE Transaction on Knowledge and Data Engineering, IEEE Computer Society, V14 N3, pp. 498-513, May 2002.

  42. K.K. Loo, C.L. Yip, Ben Kao, and David W. Cheung, A Lattice-Based Approach for I/O Efficient Association Rule Mining. Information Systems, Elsevier Science, V27, 41-74, March 2002.

  43. W. Fan, H. Lu, and S.E. Madnick and David W. Cheung, Discovering and Reconciling Value Conflicts for Data Integration, Information Systems, Elsevier Science, Vol 26/8, 41 pp 635-656, Nov, 2001.

  44. David W. Cheung, K.Hu, and S. Xia, An Adaptive Algorithm for Mining Association Rules on Shared-memory Multi-processors Parallel Machine, Distributed and Parallel Databases, Kluwer Academic Publishers, V9, 99-132, March 2001.

  45. David W. Cheung, B. Zhou, B. Kao, H. Kan and S.D. Lee, Towards the building of a Dense-Region Based OLAP System, Data and Knowledge Engineering, Elsevier Science, V36, 1-27, January 2001.

  46. B. Kao, J. Lee, C.Y. Ng, and David W. Cheung, Anchor Point Indexing in Web Document Retrieval, IEEE Transaction on Systems, Man, and Cybernetics, IEEE Society, Part C: Applications and Reviews, V. 30, N. 3, Aug 2000, pp 364-373.

  47. David W. Cheung, H.Y. Hwang, A.W. Fu, and J. Han, Efficient Rule-Based Attribute-Oriented Induction for Data Mining, Journal of Intelligent Information Systems, Kluwer Academic Publishers, 15, 175-200, September 2000.

  48. K.Hu, David W. Cheung, and S. Xia, Effect of Adaptive Interval Configuration on Parallel Mining Association Rules, Journal of Software, 11(1), 159 - 172, 2000.

  49. David W. Cheung and Y. Xiao, Effect of Data Distribution in Parallel Mining of Association, Data Mining and Knowledge Discovery, Kluwer Academic Publishers, 3, 291-314 (1999).

  50. Z. Liu and David W. Cheung, Oblivious Routing for LC-Permutation on Hypercube. Parallel Computing, Elsevier Science, 25 (1999), 445 - 460.

  51. S.D. Lee David W. Cheung, and B. Kao, Is Sampling Useful in Data Mining ? A Case in the Maintenance of Discovered Association Rules , Data Mining and Knowledge Discovery, Kluwer Academic Publishers, V2, I3, September 1998, pp. 233-262.

  52. David W. Cheung, B. Kao, and J.W. Lee, Discovering User Access Patterns on the World-Wide-Web. Knowledge Based Systems Journal, Elsevier Science, V10, N7, May 1998.

  53. Deyi Li, David W. Cheung, Xuemei Shi, and Vincent Ng, Uncertainty Reasoning Based on Cloud Models In Controllers. Computers and Mathematics with Applications, Elsevier Science, V35, N3, 99-123, 1998.

  54. David W. Cheung, V. Ng, and B.W. Tam, Incremental Updates of Discovered Multi-Level Association Rules. International Journal of Artificial Intelligence Tools, World Scientific, V6, N2, 273-290, 1997.

  55. Z. Liu and David W. Cheung, Efficient Parallel Algorithm for Dense Matrix LU Decomposition with Pivoting on Hypercubes. Computers and Mathematics with Applications, Elsevier Science, V33, N8, 39-50, April 1997.

  56. David W. Cheung, V. Ng, A.W. Fu, and Y. Fu, Efficient Mining of Association Rules in Distributed Databases. Special Issue in Data Mining, IEEE Transaction on Knowledge and Data Engineering, IEEE Computer Society, V8, N6, December 1996, 911-922.

Conference Proceedings

  1. Luyi Mo, C.K. Cheng, Ben Kao, Xuan Yang, C. Ren, S. Lei, Eric Lo, and David W. Cheung. Optimizing Plurality for Human Intelligence Tasks, Proc. The 22nd ACM International Conference on Information and Knowledge Management (ACM CIKM 2013), San Francisco, Nov, 2013.

  2. Yongtao Ye, David W. Cheung, Yadong Wang, Siu-Ming Yiu, Qing Zhan, Tak-Wah Lam, and Hing-Fung Ting, GLProbs: Aligning multiple sequences adaptively, Proc. ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM BCB 2013), Washington DC, Sept, 2013.

  3. Y. Zhang, W. K. Wong, S.M. Yiu, Nikos Mamoulis, and David W. Cheung, Lightweight Privacy-Preserving Peer-to-Peer Data Integration, Proc. The 39th International Conference on Very Large Data Bases (VLDB 2013), Riva del Garda, Italy, Aug, 2013.

  4. Xuan Liu, David W. Cheung, Hing-Fung Ting, Tak-Wah Lam, and Siu-Ming Yiu, LCR_Finder: A de novo low copy repeat finder for human genome, Proc. The 9th International Symposium on Bioinformatics Research and Applications (ISBRA 2013), Charlotte, USA, May, 2013.

  5. X. Yang, Reynold Cheng, L. Mo, Ben Kao, and David W. Cheung, On Incentive-based Tagging, Proc. The 29th International Conference on Data Engineering (ICDE 2013), Brisbane, Australia, Apr 2013.

  6. L. Mo, R. Cheng, X. Li, David W. Cheung, and X. Yang, Cleaning Uncertain Data for Top-k Queries, Proc. The 29th International Conference on Data Engineering (ICDE 2013), Brisbane, Australia, Apr 2013.

  7. Chang Wan, Ben Kao and David W. Cheung, Location-Sensitive Resources Recommendation in Social Tagging Systems, Proc. The 21st ACM Conference on Information and Knowledge Management (CIKM 2012), Hawaii, USA, October 2012.

  8. Reynold Cheng, Jian Gong, David W. Cheung, Jiefeng Cheng, Evaluating Probabilistic Queries over Uncertain Matching, Proc. The 28th International Conference on Data Engineering (ICDE 2012), Washington, D.C., USA, April 2012.

  9. Fei Wang, Philip L.H. Yu and David W. Cheung, Complex Stock Trading Strategy Based on Particle Swarm Optimization, Proc. IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr 2012), New York, USA, Mar 2012.

  10. L. Sun, Reynold Cheng, X. Li, David W. Cheung. and J. Han, On Link-based Similarity Join, Proc. The 37th International Conference on Very Large Data Bases (VLDB 2011), Seattle, USA, Aug. 2011.

  11. David W. Cheung, N. Mamoulis, W.K. Wong, S.M. Yiu, and Y. Zhang, Anonymous Fuzzy Identity-Based Encryption for Similarity Search, Proc. The 21st International Symposium on Algorithms and Computation (ISAAC 2010), Jeju Island, Korea, December 2010.

  12. Y. Zhang, M. H. Au, D. S. Wong, Q. Huang, N. Mamoulis, David W. Cheung, and S.M. Yiu, Oblivious Transfer with Access Control: Realizing Disjunction without Duplication, Proc. The 4th International Conference on Pairing-Based Cryptography (PAIRING 2010), Ishikawa, Japan, December 2010.

  13. L. Wang, David W. Cheung, R. Cheng and S.D. Lee, Accelerating Probabilistic Frequent Itemset Mining: A Model-Based Approach, Proc. The 19th Int'l Conf. on Information and Knowledge Management (CIKM 2010), Toronto, Canada, October, 2010.

  14. Thomas Y.T. Lee and David W. Cheung, XML Schema Computations: Schema Compatibility Testing and Subschema Extractions, Proc. The 19th Int'l Conf. on Information and Knowledge Management (CIKM 2010), Toronto, Canada, October, 2010.

  15. S. Zhang, N. Mamoulis, David W. Cheung and B. Kao, Efficient Skyline Evaluation over Partially Ordered Domains, Proc. The 36th International Conference on Very Large Data Bases (VLDB 2010), Singapore, Sept. 2010.

  16. L. Sun, R, Cheng, David W. Cheung and J. Cheng, Mining Uncertain Data with Probabilistic Guarantees, Proc. The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA, July 2010.

  17. W.K. Wong, N. Mamoulis, and David W. Cheung, Non-homogeneous Generalization in Privacy Preserving Data Publishing, Proc. The 28th ACM SIGMOD International Conference on Management of Data (SIGMOD 2010), Indianapolis, USA, June 2010.

  18. C.K. Chui, E. Lo, Ben Kao and David W. Cheung, S-OLAP: an OLAP system for analysis sequence data, Proc. The 28th ACM SIGMOD International Conference on Management of Data (SIGMOD 2010), Indianapolis, USA, June 2010.

  19. R. Cheng, J. Gong, and David W. Cheung, Managing Uncertainty of XML Schema Matching, Proc. The 26th International Conference on Data Engineering (ICDE 2010), Long Beach, USA, Mar 2010.

  20. Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, Reynold Cheng, and David W. Cheung, Naive Bayes Classification of Uncertain Data, Proc. The IEEE International Conference on Data Mining 2009 (ICDM 2009), Miami, USA, December 2009.

  21. W. K. Wong, David W. Cheung, E. Hung, B. Kao, and Nikos Mamoulis, An Audit Environment for Outsourcing of Frequent Itemset Mining, Proc. The 35th International Conference on Very Large Data Bases (VLDB 2009), Lyon, France, Sept. 2009.

  22. W. K. Wong, David W. Cheung, Ben Kao, and Nikos Mamoulis, Secure k-NN Computation on Encrypted Databases, Proc. The 28th ACM SIGMOD International Conference on Management of Data (SIGMOD 2009), Providence, Rhode Island, USA, June 2009.

  23. Shiming Zhang, Nikos Mamoulis and David W. Cheung, Scalable Skyline Computation Using Object-based Space Partitioning, Proc. The 28th ACM SIGMOD International Conference on Management of Data (SIGMOD 2009), Providence, Rhode Island, USA, June 2009.

  24. Thomas Y. Lee, C.T. Hon and David W. Cheung, XML Schema Design and Management for e-Government Data Interoperability, Proc. 9th European Conference on e-Government, London, UK, June 2009.

  25. Yingjie Cui , W. K. Wong ,David W. Cheung, Privacy-Preserving Clustering with High Accuracy and Low Time Complexity, Proc. The 14th International Conference on Database Systems for Advanced Applications (DASFAA 2009), Brisbane, Australia, April 2009.

  26. Jian Gong, David W. Cheung, Nikos Mamoulis, and Ben Kao, XML Data Integration using Fragment Join, Proc. 14th International Conference on Database Systems for Advanced Applications (DASFAA 2009), Brisbane, Australia, April 2009.

  27. Thomas Y. Lee, Patrick K. Yee, David W. Cheung, E-government Data Interoperability Framework in Hong Kong. Proc. International Conference on Interoperability for Enterprise Software and Applications (I-ESA China 2009), Beijing, China, March 2009.

  28. Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing Ho, K.F. Chan, Clustering Uncertain Data Using Veronoi Diagrams, Proc. IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, December 2008.

  29. W.S. Leung, Marie CM Lin, David W Cheung, Siu-Ming Yiu, Filtering of false positive microRNA candidates by a clustering-based approach, Proc. International Conference of Bioinformatics (InCoB 2008), Taipei, Taiwan, October, 2008.

  30. Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, Jiawei Han, Mining Preferences from Superior and Inferior Examples, Proc. The 14th ACM SIGKDD conference (KDD 2008), Las Vegas, USA, August, 2008.

  31. Eric Lo, Ben Kao, S.D. Lee, W.S. Ho, Chun-Kit Chui, and David W. Cheung, OLAP on Sequence Data, Proc. The 27th ACM SIGMOD International Conference on Management of Data (SIGMOD 2008), Vancouver, Canada, June 2008.

  32. S.D. Lee, Patrick Yee, Thomas Lee, David W. Cheung, and Wenjun Yuan, Descriptive schema: Semantics-based query answering, Proc. The 3rd Semantic Wiki Workshop (SemWiki 2008), 5th European Semantic Web Conference (ESWC 2008), Tenerife, Spain, June 2008.

  33. W. K. Wong, David W. Cheung, Edward Hung, and Huan Liu, Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining. Proc. The 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008), Osaka, Japan, May 2008.

  34. W.S. Leung, M.C. Lin, David W.Cheung and S.M. Yiu, A Clustering-Based Approach for Filtering False Positive MicroRNA Candidates. Proc. The 4th International Symposium on Bioinformatics Research and Applications, Atlanta, USA, May 2008.

  35. David W. Cheung, Thomas Lee, Patrick Yee, Webformer: a Rapid Application Development Toolkit for Writing Ajax Web Form Applications. Proc. The 4th International Conference on Distributed Computing and Internet Technology (ICDCIT 2007), Bangalore, India, Dec 2007.

  36. W.K. Wong, David W. Cheung, Edward Hung, Ben Kao, and Nikos Mamoulis, Security in Outsourcing of Association Rule Mining. Proc. The 33rd International Conference on Very Large Data Bases (VLDB 2007), Vienna Austria, Sept. 2007.

  37. L. Wang, David W. Cheung, S.M. Yiu, Maintenance of Maximal Frequent Itemsets in Large Databases. Proc. ACM Symposium on Applied Computing (SAC 2007), Seoul, Korea, March 2007.

  38. H. Cao, N. Mamoulis, and David W. Cheung, Discovery of Collocation Episodes in Spatiotemporal Data. Proc. The 6th IEEE International Conference on Data Mining (ICDM 2006), Hong Kong, China December 2006.

  39. Gabriel P.C. Fung, Jeffrey X. Yu, Haixun Wang, David W. Cheung, Huan Liu, A Balanced Ensemble Approach to Weighting Classifiers for Text Classification. Proc. The 6th IEEE International Conference on Data Mining (ICDM 2006), Hong Kong, China December 2006.

  40. Kevin Y Yip, David W. Cheung and Michael Ng, Input Validation for Semi-supervised Clustering. Proc. The 6th IEEE International Conference on Data Mining, Workshop, (ICDM Workshop 2006), Hong Kong, China December 2006.

  41. N. Mamoulis, K.H. Cheng, M.L. Yiu, and David W. Cheung, Efficient Aggregation of Ranked Inputs, Proc. The 22nd International Conference on Data Engineering (ICDE 2006), Altanta, GA, April 2006.

  42. Kevin Y. Yip, Peishen Qi, Martin Schultz, David W. Cheung, and Kei-Hoi Cheung, SemBiosphere: A Semantic Web Approach to Recommending Microarray Clustering Services, Proc. The Pacific Symposium on Biocomputing (PSB), Maui, USA, January, 2006.

  43. Cao Huiping, Nikos Mamoulis, David W. Cheung, Mining Frequent Spatio-temporal Sequential Patterns, Proc. The Fifth IEEE International Conference on Data Mining (ICDM 2005), New Orleans, Louisiana, November 2005.

  44. P. Ekambaram, T.S.T. Ng, M.M. Kumaraswamy and David W. Cheung, Enabling automation in tall building works with wireless technologies and tagging devices, Proc. The 6th International Conference on Tall Buildings (ICTB-VI), Hong Kong, 2005.

  45. Minghua Zhang, Ben Kao, David W. Cheung and Kevin Yip, Mining Periodic Patterns with Gap Requirement from Sequences, Proc. The 24th ACM SIGMOD International Conference on Management of Data (SIGMOD 2005), Baltimore, Maryland, June 2005.

  46. K.K. Loo, I Tong, Ben Kao, and David W. Cheung, On-line Algorithms for Mining Inter-Stream Associations from Large Sensor Networks. Proc. The 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2005), Hanoi, Vietnam, May, 2005.

  47. Kevin Y. Yip, David W. Cheung and Michael K. Ng, On Discovery of Extremely Low-Dimensional Clusters using Semi-Supervised Projected Clustering, Proc. The 21st IEEE International Conference on Data Engineering (ICDE 2005) , Tokyo, April 2005.

  48. Lin Cheung, Kevin Y. Yip, David W. Cheung, Ben Kao and Michael K. Ng, On Mining Micro-Array Data by Order-Preserving Submatrix, Proc. International Workshop on Biomedical Data Engineering (BMDE 2005), , Tokyo, April 2005.

  49. M. Cho, J. Pei and David W. Cheung, Cross Table Cubing: Mining Iceberg Cubes from Data Warehouses, Proc. The 5th SIAM International Conference on Data Mining (SDM 2005), Newport Beach, USA, April 2005.

  50. Lian Wang, Nikos Mamoulis, David W. Cheung and S.M. Yiu, Discovering Minimal Infrequent Structures from XML Documents. Proc. The Fifth International Conference on Web Information Systems Engineering (WISE 2004), Brisbane, Australia, November, 2004.

  51. Nikos Mamoulis, Xin Zhang, David W. Cheung and Yutao Shou, Fast Mining of Spatial Collocations. Proc. The Tenth ACM SIGKDD conference (SIGKDD 2004), Seattle, USA, August, 2004.

  52. Nikos Mamoulis, Huiping Cao, George Kollios, Marios Hadjieleftheriou, Yufei Tao, and David W. Cheung, Mining, Indexing, and Querying Historical Spatiotemporal Data. Proc. The Tenth ACM SIGKDD conference (SIGKDD 2004), Seattle, USA, August, 2004.

  53. E. Lo, Nikos Mamoulis, David W. Cheung, Wai Shing Ho, Panos Kalnis, Processing Ad-Hoc Joins on Mobile Devices. Proc. Fifteenth International Conference on Database and Expert Systems Applications (DEXA'2004), Saragoxa, Spain, Sept., 2004.

  54. L. Wang, David W. Cheung, N. Mamoulis and S.M. Yiu, Improving Query Performance by Clustering XML Documents. Proc. International Conference on Computing, Communications and Control Technologies (CCCT 2004), Austin, USA, August, 2004.

  55. H. Cao, David W. Cheung, and N. Mamoulis, Discovering Partial Periodic Patterns in Discrete Data Sequences. Proc. The 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2004), Sydney, Australia, May, 2004.

  56. Kevin Y. Yip, David W. Cheung, Michael K. Ng and Kei-Hoi Cheung, Identifying Projected Clusters from Gene Expression Profiles. Proc. IEEE Symposium on BioInformatics and BioEngineering (BIBE 2004)), Taichung, Taiwan, May 2004.

  57. W.S. Ho, Ben Kao, David W. Cheung, C.L. Yip, Eric Lo, SF-Tree: An Efficient and Flexible Structure for Estimating Selectivity of Simple Path Expressions with Statistical Accuracy Guarantee. Proc. 10th International Conference on Database Systems for Advanced Applications (DASFAA 2004) , Jeju Island, Korea, March 2004.

  58. K. Yip, David W. Cheung and K. Ng. A highly-usable projected clustering algorithm for gene expression profiles. Proc. The 3rd International Workshop on Data Mining in Bioinformatics, (BIOKDD 2003), Washington, DC, USA, August 2003.

  59. W. Lian, N. Mamoulis, and David W. Cheung, A Filter Index for Complex Queries on Semi-structured Data. Proc. The 4th International Conference on Web-Age Information Management (WAIM 2003), Chengdu, China, August 2003.

  60. Y. Shou, N. Mamoulis, H. Cao, D. Papadias, and David W. Cheung, Evaluation of Iceberg Distance Joins. Proc. The 8th International Symposium on Spatial and Temporal Databases (SSTD 2003), Santorini, Greece, July 2003.

  61. David W. Cheung, E. Lo, C.Y. Ng and T. Lee, Web Services Oriented Data Processing and Integration. Proc. . The Twelfth International World Web Conference (WWW 2003), Budapst, Hungary, May, 2003.

  62. L.L. Cheng, David W. Cheung, and S.M. Yiu, Approximate String Matching in DNA Sequences. Proc. . 9th International Conference on Database Systems for Advanced Applications (DASFAA 2003) , Kyoto, Japan, March, 2003.

  63. K.F. Kan, David W. Cheung, and B. Kao, Maintenance of Partial-Sum-Based Histograms. Proc. . 9th International Conference on Database Systems for Advanced Applications (DASFAA 2003) , Kyoto, Japan, March, 2003.

  64. N. Mamoulis, David W. Cheung, and L. Wang, The Signature Tree: An Index for Similarity Search in Categorical and Market-Basket Data. Proc. 19h IEEE International Conference on Data Engineering (ICDE-2003), Bangalora, India, March, 2003.

  65. F. Cheung, B. Kao, David W. Cheung and C.Y. Ng, An Efficient Algorithm for Incremental Update of Concept Spaces. Proc. 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02), Taipei, May, 2002.

  66. J. Tang, Z. Chen, A. Fu and David W. Cheung, Enhancing Effectiveness of Outlier Detections for Low Density Patterns. Proc. 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02), Taipei, May, 2002.

  67. M. Zhang, B. Kao, David W. Cheung, C.L. Yip, Efficient Algorithms for Incremental Update of Frequent Sequences. Proc. 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02), Taipei, May, 2002.

  68. K. Wang, Y. He, David W. Cheung, F. Chin, Mining Confident Rules Without Support Requirement. Proc. Tenth Int'l Conf. on Information and Knowledge Management (CIKM 2001), Altanta, Georgia, USA, November, 2001.

  69. Z. Huang, J. Ng, David W. Cheung, M.K. Ng and W.K. Ching, A Cube Model for Web Access Sessions and Cluster Analysis. Proc. Workshop on Mining Log Data Across All Customer TouchPoints (WEBKDD 2001), (KDD 2001), San Franciso, August, 2001.

  70. W.K. Sung, D. Yang, S.M. Yiu, W.S. Ho, David W. Cheung and T.W. Lam, Automatic Construction of Online Catalog Topologies Using Decision Trees. Proc. 2nd International Conference on Electronic Commerce and Web Technologies (EC-Web 2001), Munich, Germany, September, 2001.

  71. L. Wang, David W. Cheung and S.M. Yiu, Indexing Attributes and Reordering Profiles for XML Document Filtering and Information Delivery. Proc. The 2nd International Conference on Web-Age Information Management (WAIM2001), Xi'an, China, July, 2001.

  72. M. Zhang, B. Kao, C.L. Yip, and David W. Cheung, A GSP-based Efficient Algorithm for Mining Frequent Sequences. Proc. 2001 International Conference on Artificial Intelligence (IC-AI 2001), Las Vagas, June, 2001.

  73. W.K. Sung, F.C.H. Tong, K.H. Yeung, David W. Cheung, C.J. Tan and William Song, Pervasive Multimedia Markup Language (PMML): an XML-based Multimedia Content Specification for Pervasive Access. Proc. Tenth International World Wide Web Conference (WWW10), Hong Kong, May, 2001.

  74. M. Zhang, B. Kao, C.L. Yip, David W. Cheung, FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences. Proc. 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-01), Hong Kong, April, 2001.

  75. C.Y. Ng, J. Lee, F. Cheung, B. Kao, and David W. Cheung, Efficient Algorithms for Concept Space Construction. Proc. 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-01), Hong Kong, April, 2001.

  76. Z. Huang, David W. Cheung and M. Ng, An Empirical Study on the Visual Cluster Validation Method with Fastmap. Proc. 7th International Conference on Database Systems for Advanced Applications (DASFAA01), Hong Kong, April, 2001.

  77. Z. Huang, M. Ng, Tao Lin, and David W. Cheung, An interactive approach to building classification models by clustering and cluster validation. Proc. 2nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2000), Hong Kong, December, 2000.

  78. K.K. Loo, C.L. Yip, B. Kao, and David W. Cheung, Exploiting the Duality of Maximal Frequent Itemsets and Minimal Infrequent Itemsets for I/O Efficient Association Rule Mining. Proc. Eleventh International Conference on Database and Expert Systems Applications (DEXA'2000), Greenwich, Sept., 2000.

  79. W. Song, David W. Cheung, and C J Tan, A Semantic Similarity Approach to Electronic Document Modeling and Integration. Proc. The First Int'l Conference on Web Information Systems Engineering (WISE'2000), Hong Kong, June, 2000.

  80. W. Lian, W. Song and David W. Cheung, Using Contextual Semantics to Automate the Web Document Search and Analysis. Proc. The International Workshop on the World Wide Web Semantics (WebSem 2000), Hong Kong, June, 2000.

  81. David W. Cheung, S.D. Lee, T. Lee, W. Song and C.J. Tan, Distributed and Scalable XML Document Processing Architecture for E-Commerce Systems. Proc. Second Int'l Workshop on Advanced Issues of E-Commerce and Web-based Information Systems (WECWIS'00), San Jose, June, 2000.

  82. D. Yang, W.K. Sung, S.M. Yiu, David W. Cheung, W.S. Ho, T.W. Lam and S.D. Lee, Construction of Online Catalog Topologies Using Decision Trees. Proc. Second Int'l Workshop on Advanced Issues of E-Commerce and Web-based Information Systems (WECWIS'00), San Jose, June, 2000.

  83. C.Y. Ng, B. Kao and David W. Cheung, Text-Source Discovery and GlOSS Update in a Dynamic Web. Proc. The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-00), Kyoto, April, 2000.

  84. David W. Cheung, Lian Wang, S.M.Yiu and B. Zhou, Density-based Mining of Quantitative Association Rules. Proc. The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-00), Kyoto, April, 2000.

  85. E.Hung, David W. Cheung, B. Kao and Y.L. Liang, An Optimization Problem in Data Cube System Design. Proc. The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-00), Kyoto, April, 2000.

  86. David W. Cheung, B. Zhou, B. Kao, H. Lu, T.W. Lam and H.F. Ting, Requirement-based Data Cube Schema Design. Proc. Eighth Int'l Conf. on Information and Knowledge Management (CIKM), Kansas City, Missouri, November 2-6, 1999.

  87. David W. Cheung, B. Zhou, B. Kao, K. Hu and S.D. Lee, DROLAP -- A Dense-Region-Based Approach to On-line Analytical Processing. Proc. The 10th International Conference on Database and Expert Systems Applications (DEXA '99), Florence, August, 1999.

  88. E. Hung, and David W. Cheung, Parallel Algorithm for Mining Outliers in Large Database. Proc. 9th International Database Conference (IDC), Hong Kong, July 1999.

  89. B. Zhou, David W. Cheung and B. Kao, A Fast Algorithm for Density-Based Clustering in Large Database. Proc. The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99) , Beijing, China, April 1999.

  90. C.L. Yip, K.K. Loo, B. Kao, David W. Cheung, C.K. Cheng, LGen - A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining, Proc. The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99) , Beijing, China, April 1999.

  91. V. Ng, T.K. Siu, and David W. Cheung, An Incremental Learning Agent for Personalized WWW Searching, Proc. The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99) , Beijing, China, April 1999.

  92. V. Ng and David W. Cheung, Distributed Association Mining under Inequality Constraints. Proc. KDD'98 Workshop on Distributed Data Mining, New York, USA, August 1998, pp. 16-21.

  93. B. Kao, J. Lee, David W. Cheung and C.Y. Ng, Recommending Anchor Points in Structure-Preserving Hypertext Document Retrieval. Proc. Twenty-Second Annual International Computer Software and Application Conference (COMPSAC-98) , Vienna, Austria, August, 1998.

  94. David W. Cheung, K. Hu and S. Xia, Asynchronous Parallel Algorithm for Mining Association Rules on a Shared-memory Multi-processors. Proc. The Tenth Annual ACM Symposium on Parallel Algorithms And Architectures. (SPAA-98), Puerto Vallarta, Mexico, June, 1998.

  95. David W. Cheung and Y. Xiao, Effect of Data Skewness in Parallel Mining of Association Rules. Proc. The Second Pacific-Asia Conference on Knowledge Discovery and Data Mining. (PAKDD-98), Melbourne, Australia, April, 1998, 48 - 60.

  96. K. Hu, David W. Cheung, S. Xia, Efficient Parallel Mining of Association Rules on Shared-Memory Multi-processor Machine. Proc. IEEE First International Conference on Intelligent Processing Systems, Beijing, China, Oct, 1997.

  97. V. Ng, and David W. Cheung, Measuring Asymmetries of Skin Lesions. Proc. 1997 IEEE International Conference On System, Man and Cybernetics (SMC-97), Orlando, Florida, USA, October, 1997.

  98. H. Lu, W. Fan, C. Goh, S.E. Madnick and David W. Cheung, Discovering and Reconciling Semantic Conflicts : A Data Mining Perspective. Proc. 7th IFIP 2.6 Working Conference on Data Semantics (DS-7), Leysin, Switzerland, October, 1997.

  99. David W. Cheung, C.H. Lee, and V. Ng, A Content-Based Search Engine on Medical Images for Telemedicine. Proc. International Computer Software and Application Conference (COMPSAC-97) , Washington, D.C., August, 1997.

  100. S.D. Lee and David W. Cheung, Maintenance of Discovered Association Rules: When to update ? Proc. 1997 ACM-SIGMOD Workshop on Data Mining and Knowledge Discovery (DMKD-97) , Tucson, Arizona, May, 1997.

  101. David W. Cheung, S.D. Lee, B. Kao, A General Incremental Technique for Updating Discovered Association Rules. Proc. International Conference On Database Systems For Advanced Applications (DASFAA-97), Melbourne, Australia, April, 1997.

  102. David W. Cheung, B. Kao, and J.W. Lee, Discovering User Access Patterns on the World-Wide-Web. Proc. First Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-97), Singapore, February, 1997.

  103. J. Lee, David W. Cheung, B. Kao, J. Law, and T. Lee, Intelligent Agents for Matching Information Providers and Consumers on the World-Wide-Web. Proc. 30th Hawaii International Conference on System Science (HICSS-97), Wailea, Hawaii, January, 1997.

  104. David W. Cheung, J. Han, V. Ng, A.W. Fu and Y. Fu, A Fast Distributed Algorithm for Mining Association Rules. Proc. Fourth International Conference on Parallel and Distributed Information System (PDIS-96), Miami Beach, Florida, December, 1996, 31-43.

  105. David W. Cheung, V. Ng, and B.W. Tam, Maintenance of Discovered Knowledge : A Case in Multi-level Association Rules. Proc. Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, Oregon, August, 1996, 307-310.

  106. David W. Cheung, J. Han, V. Ng, and C.Y. Wong, Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Techniques. Proc. 12th IEEE International Conference on Data Engineering (ICDE-96), New Orleans, Louisiana, U.S.A., March, 1996.

  107. David W. Cheung and J. Han, Maintenance of Discovered Knowledge : A Strategy for Updating Association Rules. Proc. Ist International DOOD Workshop on Integration of Knowledge Discovery with Deductive and Object-Oriented Databases , Singapore, December, 1995.

  108. V. Ng, David W. Cheung and A.W. Fu, Adaptive Color Histogram Indexing. Proc. SPIE International Symposium on Voice, Video, and Data Communication, SPIE Proc. V.2606-20, Philadelphia, Pennsylvania, U.S.A., October, 1995.

  109. V. Ng, David W. Cheung and A.W. Fu, Medical Image Retrieval by Color Content. Proc. 1995 IEEE International Conference On System, Man and Cybernetics, Vancouver, Canada, October, 1995.

  110. David W. Cheung., A.W. Fu, and J. Han, Knowledge discovery in database: a rule-based attribute-oriented approach. Proc. 1994 Eighth Int. Symp. in Methodologies of Intelligent Systems (ISMIS-94), Charlotte, N.C., October, 1994, 164-173.

  111. A.W. Fu and David W. Cheung, A transaction replication scheme for a replicated database with node autonomy. Proc. 1994 Int. Conf. on Very Large Data Base (VLDB-94), Santiago, Chile, September, 1994, 214-225.

  112. A.W. Fu and D. W. Cheung, Synchronized transaction broadcasting in a replicated database supporting node autonomy. Proc. of 7th Int. Conf. on System Research Informatics and Cybernetics, Baden-Baden, Germany, August, 1994, 13-17.