1. Abidi, S. S., & Ong, J. (2000). A data mining strategy for inductive data clustering: A synergy between self-organizing neural networks and K-means clustering techniques. In Proceedings of IEEE TENCON (pp. 568–573). Kuala Lumpur.
2. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules in large databases. In Proceedings of the 20th international conference on very large databases (pp. 487–499). Santiago, Chile.
3. A personalized recommender system based on web usage mining and decision tree;Cho;Expert Systems with Applications,2002
4. Clustering web transactions using rough approximation;De;Fuzzy Sets and Systems,2004
5. Han, J., & Fu, Y. (1995). Discovery of multiple-level association rules from large database. In The twenty-first international conference on very large data bases (pp. 420–431). Zurich, Switzerland.