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An integer programming approach to inductive learning using genetic algorithm

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2 Author(s)
J. Kacprzyk ; Syst. Res. Inst., Polish Acad. of Sci., Warsaw, Poland ; G. Szkatula

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:

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on  (Volume:1 )

Date of Conference:

12-17 May 2002