An Integrated Method for Generating Inductive Rule Sets


KIPS Transactions on Software and Data Engineering, Vol. 10, No. 1, pp. 27-32, Jan. 2003
10.3745/KIPSTB.2003.10.1.27, Full Text:

Abstract

The rule induction system generates a set of inductive rules, and the task of selecting an optimal rule subset is one of the important problem in the area of rule induction. This paper proposes a new learning method which combines rule induction system with the paradigm of genetic algorithm. This paper shows that genetic algorithm can be effectively applied to optimal rule selection problem. The proposed system was evaluated using a set of different machine learning data sets and, showed better performance in all cases than other traditional methods.


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Cite this article
[IEEE Style]
C. H. Lee, "An Integrated Method for Generating Inductive Rule Sets," KIPS Journal B (2001 ~ 2012) , vol. 10, no. 1, pp. 27-32, 2003. DOI: 10.3745/KIPSTB.2003.10.1.27.

[ACM Style]
Chang Hwan Lee. 2003. An Integrated Method for Generating Inductive Rule Sets. KIPS Journal B (2001 ~ 2012) , 10, 1, (2003), 27-32. DOI: 10.3745/KIPSTB.2003.10.1.27.