Association rule mining through adaptive parameter control in particle swarm optimization

Author:

Indira K.,Kanmani S.

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference54 articles.

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2. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules in large databases. In: Bocca JB, Jarke M, Zaniolo C (eds) Proceedings of the 20th international conference on very large data bases, Morgan Kaufmann, Burlington, pp 478–499

3. Back T (1992) Self-adaptation in genetic algorithms. In: Proceedings of the 1st European conference on artificial life, pp 263–271

4. Brin S, Motwani R, Ullman JD, Tsur S (1997) Dynamic itemset counting and implication rules for market basket data. In: Peckham J (eds) Proceedings of the 1997 ACM SIGMOD international conference on management of data, pp 255–264

5. Burke EK, Hyde M, Kendall G et al (2009) A survey of hyper-heuristics. In: Technical report NOTTCS-TR-SUB-0906241418-2747, School of computer science and information technology, University of Nottingham

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