Association Rule Mining Bibliography

Journal articles

  1. S. Zhang and X. Wu . Fundamentals of association rules in data mining and knowledge discovery. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 1, Issue 2 (2011), Page 97-116.
  2. X. Yan , C. Zhang and S. Zhang. Confidence metrics for association rule mining. Applied Artificial Intelligence, Volume 23, Issue 8 (2009), Page 713-737.
  3. M. Huang , X. Yan , S. Zhang. Query expansion of pseudo relevance feedback based on matrix-weighted association rules mining. Journal of Software, Volume 20, Issue 7 (2009), Page 1854-1865.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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

  1. Z. Qin , L. Liu and S. Zhang. Mining Term Association Rules for Heuristic Query Construction, Proceedings of the 8th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2004, pag: 145-154, ISBN: 3-540-22064-X. Sydney, Australia
  2. 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
  3. 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.
  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.
  5. 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