Association Rule Mining Bibliography

Journal articles

1. 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.
2. 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

1. 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.
2. 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.
3. 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.
4. 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.