An efficient genetic algorithm for automated mining of both positive and negative quantitative association rules

Author:

Alataş Bilal,Akin Erhan

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference8 articles.

1. Han J, Kamber M (2001) Data mining: concepts and techniques. Morgan Kaufmann, Academic, San Fransisco, New York

2. Karcı A (2004) Novelty in the generation of initial population for genetic algorithms. Knowledge-based intelligent information and engineering systems. Part II In: 8th International conference KES 2004 (LNAI), Wellington, New Zealand, 3214: 268–276

3. Agrawal R, Imielinski T, Swami AN (1993) Mining association rules between sets of items in large databases. In: Proceedings of the ACM SIGMOD, Washington, D.C. 207–216

4. Srikant R, Agrawal R (1996) Mining quantitative association rules in large relational tables. In: Proceedings ACMSIGMOD 1–12

5. Fukada T, Yasuhiko M, Sinichi M, Tokuyama T (1996) Mining optimized association rules for numeric attributes. In: Proceedings of the ACM SIGMOD International conference on management of data, Montreal Canada, 13–23

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