Journal articles
- J. Han, J. Pei, Y. Yin and R. Mao. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. Data Mining and Knowledge Discovery, Volume 8, Issue 1 (2004), Page 53-87.
- A.K.H. Tung, H. Lu, J. Han and L. Feng. Efficient Mining of Intertransaction Association Rules. IEEE Transactions on Knowledge and Data Engineering, Volume 15, Issue 1 (2003), Page 43-56.
- K. Wang, Y. He and J. Han. Pushing Support Constraints Into Association Rules Mining. IEEE Transactions on Knowledge and Data Engineering, Volume 15, Issue 3 (2003), Page 642-658.
- L. Feng, J.X. Yu, H. Lu and J. Han. A template model for multidimensional inter-transactional association rules. Very Large Data Bases Journal, Volume 11, Issue 2 (2002), Page 153-175.
- H. Lu, L. Feng and J. Han. Beyond intratransaction association analysis: mining multidimensional intertransaction association rules. ACM Transactions on Information Systems, Volume 18, Issue 4 (2000), Page 423-454.
- J. Han and Y. Fu. Mining Multiple-Level Association Rules in Large Databases. IEEE Transactions on Knowledge and Data Engineering, Volume 11, Issue 5 (1999), Page 798-804.
Conference contributions
- T. Wu, Y. Chen and J. Han. Association Mining in Large Databases: A Re-examination of Its Measures, Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, Warsaw, Poland, pag: 621-628, ISBN: 978-3-540-74975-2.
- X. Yin and J. Han. CPAR: Classification based on Predictive Association Rules, Proceedings of the 3th SIAM International Conference on Data Mining, SDM 2003, San Francisco, USA, pag: 331-335, ISBN: 978-0-89871-545-3.
- K. Wang, L. Tang, J. Han and J. Liu. Top Down FP-Growth for Association Rule Mining, Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2002, Taipei, Taiwan, pag: 334-340, ISBN: 3-540-43704-5.
- W. Li, J. Han and J. Pei. CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules, Proceedings of the 2001 IEEE International Conference on Data Mining, ICDM 2001, San Jose, California, USA, pag: 369-376, ISBN: 0-7695-1119-8.
- L. Feng, H. Lu, J.X. Yu and J. Han. Mining Inter-Transaction Associations with Templates, Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, Kansas City, Missouri, USA, pag: 225-233, ISBN: 1-58113-146-1.
- A.K.H. Tung, H. Lu, J. Han and L. Feng. Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules, Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, pag: 297-301, ISBN: 1-58113-143-7.
- R.T. Ng, L.V.S. Lakshmanan, J. Han and A. Pang. Exploratory Mining and Pruning Optimizations of Constrained Association Rules, Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data, Seattle, Washington, USA, pag: 13-24, ISBN: 0-89791-995-5.
- M. Kamber, J. Han and J. Chiang. Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes, Proceedings of the 3th International Conference on Knowledge Discovery and Data Mining, KDD '97, Newport Beach, California, USA, pag: 207-210, ISBN: 1-57735-027-8.
- 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.
- 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.
- K. Koperski and J. Han. Discovery of Spatial Association Rules in Geographic Information Databases, Proceedings of the 4th International Symposium on Advances in Spatial Databases, SSD'95, Portland, Maine, USA, 1996, pag: 47-66, ISBN: 3-540-60159-7.
- J. Han and Y. Fu. Discovery of Multiple-Level Association Rules from Large Databases, Proceedings of the 21th International Conference on Very Large Data Bases, VLDB'95, Zurich, Switzerland, pag: 420-431, ISBN: 1-55860-379-4.