An integer programming approach to inductive learning using genetic algorithm
Janusz Kacprzyk, Grażyna Szkatuła · 2003
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.