Abstract:
We propose an improved inductive learning method to derive classification rules that correctly describe most of the examples belonging to a class and do not describe most...Show MoreMetadata
Abstract:
We propose an improved inductive learning method to derive classification rules that correctly describe most of the examples belonging to a class and do not describe most of the examples not belonging to this class. The problem is represented as a modification of the set covering problems solved by a genetic algorithm. The results are very encouraging.
Published in: Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)
Date of Conference: 12-17 May 2002
Date Added to IEEE Xplore: 07 August 2002
Print ISBN:0-7803-7282-4
Contents 