Association Rule Mining Bibliography

Conference contributions

  1. M. Fazzorali , R. Alcalá , Y. Nojima , H. Ishibuchi and F. Herrera . Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities, Proceedings of the 2013 International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2013, pag: 44-51, ISBN: 978-146735899-6.
  2. H. Ishibuchi, I. Kuwajima and Y. Nojima. Prescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection, Proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Egineering Systems, KES 2007 - WIRN 2007, pag: 509-516, ISBN: 978-3-540-74826-7.
  3. H. Ishibuchi, T. Yamamoto and T. Nakashima . Determination of rule weights of fuzzy association rules, Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001, pag: 1555-1558, ISBN: 0-7803-7293-X.
  4. H. Ishibuchi, T. Nakashima and T. Yamamoto . Fuzzy association rules for handling continuous attributes, Proceedings of the IEEE International Symposium on Industrial Electronics, 2001, pag: 118-121, ISBN: 0-7803-7090-2.