Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining-Reference-Cited by-同舟云学术

Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining

Published:2007-09-02 Issue:3 Volume:31 Page:243-264
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Alhajj Reda,Kaya Mehmet

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10844-007-0044-1.pdf

Reference30 articles.

1. Arslan, A., & Kaya, M. (2001). Determination of fuzzy logic membership functions using genetic algorithms. Fuzzy Sets and Systems, 118(2), 297–306.

2. Au, W. H., & Chan, K. C. C. (1998). An effective algorithm for discovering fuzzy rules in relational databases. Proceedings of IEEE International Conference on Fuzzy Systems, 1314–1319.

3. Chan, K. C. C., & Au, W. H. (1997). Mining fuzzy association rules. Proceedings of ACM International Conference on Information and Knowledge Management, Las Vegas, pp. 209–215.

4. Chien, B. C., Lin, Z. L., & Hong, T. P. (2001). An efficient clustering algorithm for mining fuzzy quantitative association rules. Proceedings of IFSA World Congress and NAFIPS International Conference, Vol. 3, pp. 1306–1311.

5. Fonseca, C. M., & Fleming, P. J. (1993). Genetic algorithms for multi-objective optimization: Formulation, discussion and generalization. In S. Forrest (Ed.), Proceedings of the International Conference on Genetic Algorithms (pp. 416–423). San Mateo, CA.

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Introduction;Multiobjective Optimization Algorithms for Bioinformatics;2024

2. A survey on soft computing-based high-utility itemsets mining;Soft Computing;2022-01-25

3. Mining significant fuzzy association rules with differential evolution algorithm;Applied Soft Computing;2020-12

4. Value of fuzzy logic for data mining and machine learning: A case study;Expert Systems with Applications;2020-12

5. A survey of evolutionary computation for association rule mining;Information Sciences;2020-07