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. D.W. Cheung, K. Hu and S. Xia. An Adaptive Algorithm for Mining Association Rules on Shared-Memory Parallel Machines. Distributed and Parallel Databases, Volume 9, Issue 2 (2001), Page 99-132.
  3. D.W. Cheung and Y. Xiao. Effect of Data Distribution in Parallel Mining of Associations. Data Mining and Knowledge Discovery, Volume 3, Issue 3 (1999), Page 291-314.
  4. 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.
  5. D.W. Cheung, V.T.Y. Ng and B.W. Tam. Incremental Updates of Discovered Multi-Level Association Rules. International Journal on Artificial Intelligence Tools, Volume 6, Issue 2 (1997), Page 273-290.
  6. D.W. Cheung, V.T.Y. Ng, A.W. Fu and Y. Fu. Efficient Mining of Association Rules in Distributed Databases. IEEE Transactions on Knowledge and Data Engineering, Volume 8, Issue 6 (1996), Page 911-922.

Conference contributions

  1. W.K. Wong, D.W. Cheung, E. Hung and H. Liu. Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining, Proceedings of the 12th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2008, Osaka, Japan, pag: 381-392, ISBN: 978-3-540-68124-3.
  2. 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.
  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.
  4. D.W. Cheung, L. Wang, S. Yiu and B. Zhou. Density-Based Mining of Quantitative Association Rules, Proceedings of the 4th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2000, Kyoto, Japan, pag: 257-268, ISBN: 3-540-67382-2.
  5. 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.
  6. D.W. Cheung and Y. Xiao. Effect of Data Skewness in Parallel Mining of Association Rules, Proceedings of the 2nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 1998, Melbourne, Australia, pag: 48-60, ISBN: 3-540-64383-4.
  7. D.W. Cheung, K. Hu and S. Xia. Asynchronous Parallel Algorithm for Mining Association Rules on a Shared-Memory MultiPprocessors, Proceedings of the 10th Annual ACM Symposium on Parallel Algorithms and Architectures, SPAA 98, Puerto Vallarta, Mexico pag: 279-288.
  8. 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.
  9. D.W. Cheung, J. Han, V.T.Y. Ng and C.Y. Wong. Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique, Proceedings of the 12th International Conference on Data Engineering, 1996, New Orleans, Louisiana, pag: 106-114, ISBN: 0-8186-7240-4.
  10. D.W. Cheung, J. Han, V.T.Y. Ng, A.W. Fu and Y. Fu. A Fast Distributed Algorithm for Mining Association Rules, Proceedings of the 4th International Conference on Parallel and Distributed Information Systems, 1996, Miami Beach, Florida, USA, pag: 31-42, ISBN: 0-8186-7475-X.
  11. D.W. Cheung, V.T.Y. Ng and B.W. Tam. Maintenance of Discovered Knowledge: A Case in Multi-Level Association Rules, Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, KDD-96, Portland, Oregon, USA, pag: 307-310, ISBN: 1-57735-004-9.