Journal articles
- K.K. Loo, C.L. Yip, B. Kao and D.W. Cheung. A lattice-based approach for I/O efficient association rule mining. Information Systems, Volume 27, Issue 1 (2002), Page 41-74.
- S.D. Lee, D.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, Volume 2, Issue 3 (1998), Page 233-262.
Conference contributions
- W.K. Wong, D.W. Cheung, E. Hung, B. Kao and N. Mamoulis. Security in Outsourcing of Association Rule Mining, Proceedings of the 33rd International Conference on Very Large Data Bases, University of Vienna, Austria, 2007, pag: 111-122, ISBN: 978-1-59593-649-3.
- K.K. Loo, C.L. Yip, B. Kao and D.W. Cheung. Exploiting the Duality of Maximal Frequent Itemsets and Minimal Infrequent Itemsets for I/O Efficient Association Rule Mining, Proceedings of the 11th International Conference on Database and Expert Systems Applications, DEXA 2000, London, UK, pag: 710-719, ISBN: 3-540-67978-2.
- C.L. Yip, K.K. Loo, B. Kao, D.W. Cheung and C.K. Cheng. LGen - A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining, Proceedings of the 3rd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 1999, Beijing, China, pag: 54-63, ISBN: 3-540-65866-1.
- D.W. Cheung, S.D. Lee and B. Kao. A General Incremental Technique for Maintaining Discovered Association Rules, Proceedings of the 5th International Conference on Database Systems for Advanced Applications, DASFAA 97, Melbourne, Australia, pag: 185-194, ISBN: 981-02-3107-5.