Books
- Y. Zhao, C. Zhang and L. Cao. Post-Mining of Association Rules. Information Science Reference - Imprint of: IGI Publishing, 2009, ISBN: 978-1-60566-404-0.
Journal articles
- L. Cao, H. Zhang, Y. Zhao, D. Luo and C. Zhang. Combined Mining: Discovering Informative Knowledge in Complex Data. IEEE Transactions on Systems Man and Cybernetics, Part B, Volume 41, Issue 3 (2011), Page 699-712.
- X. Yan , C. Zhang and S. Zhang . Confidence metrics for association rule mining. Applied Artificial Intelligence, Volume 23, Issue 8 (2009), Page 713-737.
- X. Yan , C. Zhang and S. Zhang . Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support. Expert Systems with Appications, Volume 36 (2009), Page 3066-3076.
- X. Yan , S. Zhang and C. Zhang. On data structures for association rule discovery. Applied Artificial Intelligence, Volume 21, Issue 2 (2007), Page 57-79.
- X. Yan , C. Zhang and S. Zhang . ARMGA: Identifying interesting association rules with genetic algorithms. Applied Artificial Intelligence, Volume 19, Issue 7 (2005), Page 677-689.
- S. Zhang , J. Lu and C. Zhang. A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules. Information Sciences, Volume 164, Issue 1-4 (2004), Page 1-16.
- X. Wu , C. Zhang and S. Zhang . Efficient mining of both positive and negative association rules. ACM Transactions on Information Systems, Volume 22, Issue 3 (2004), Page 381-405.
- S. Zhang , C. Zhang and X. Yan . Post-mining: Maintenance of association rules by weighting. Information Systems, Volume 28, Issue 7 (2003), Page 691-707.
- S. Zhang and C. Zhang. Discovering Associations in Very Large Databases by Approximating. Acta Cybernetica, Volume 16, Issue 1 (2003), Page 155-177.
Conference contributions
- Y. Zhao, H. Zhang, L. Cao, C. Zhang and H. Bohlscheid. Combined Pattern Mining: From Learned Rules to Actionable Knowledge, Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence, AI 2008, Auckland, New Zealand, pag: 393-403, ISBN: 978-3-540-89377-6.
- H. Zhang , Y. Zhao , L. Cao and C. Zhang. Combined Association Rule Mining, Proceedings of the 12th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2008, pag: 1069-1074, ISBN: 978-3-540-68124-3. Osaka, Japan
- H. Zhang , Y. Zhao , L. Cao and C. Zhang. Class Association Rule Mining with Multiple Imbalanced Attributes, Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, AI 2007, pag: 827-831, ISBN: 978-3-540-76926-2. Gold Coast, Australia
- Y. Zhao , H. Zhang, F. Figueirido, L. Cao and C. Zhang. Mining for Combined Association Rules on Multiple Datasets, Proceedings of the 2007 ACM SIGKDD Workshop on Domain Driven Data Mining, DDDM 07, San Jose, California, USA, pag: 18-23, ISBN: 978-1-59593-846-6
- Y. Zhao , L. Cao, Y. Morrow, Y. Ou, J. Ni and C. Zhang. Discovering Debtor Patterns of Centrelink Customers, Proceedings of the 2006 Australasian Data Mining Conference, AusDM 2006, Sydney, pag: 135-144.
- Y. Zhao , C. Zhang and S. Zhang . Discovering Interesting Association Rules by Clustering, Proceedings of the 17th Australian Joint Conference on Artificial Intelligence, AI 2004, pag: 1055-1061, ISBN: 3-540-24059-4. Cairns, Australia
- X. Yan , C. Zhang and S. Zhang . A database-independent approach of mining association rules with genetic algorithm, Proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, pag: 882-886, ISBN: 978-3-540-40550-4.
- X. Wu , C. Zhang and S. Zhang . Mining Both Positive and Negative Association Rules, Proceedings of the 9th International Conference on Machine Learning, ICML 2002, pag: 658-665, ISBN: 1-55860-873-7.
- X. Yan , C. Zhang, S. Zhang and J.K. Debenham . Association Rule Mining by Agents, Proceedings of the 2002 International Conference on Machine Learning and Applications, ICMLA 2002, pag: 77-83, ISBN: 1-892512-29-7. Las vegas, Nevada, USA