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This paper describes our approach and experiences with implementing a data mining system using genetic algorithms in C++. In contrast with earlier classification algorithms that tended to “tile” the data sets using some pre-specified “shapes”, the proposed system is based on Marmelstein’s work on determining natural boundaries for class homogeneous regions. These boundaries are further refined to construct a compact set of simple data mining rules for classification.
Kinzig, C. W.,
Lamont, G. B.,
& Marmelstein, R. E.
(2001). Summarizing Data Sets for Classification. Proceedings of the International Conference on Artificial Intelligence, 681-687.