Document Type
Conference Proceeding
Publication Date
6-2001
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Abstract
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.
Repository Citation
Kinzig, C. W.,
Thirunarayan, K.,
Lamont, G. B.,
& Marmelstein, R. E.
(2001). Summarizing Data Sets for Classification. Proceedings of the International Conference on Artificial Intelligence, 681-687.
https://corescholar.libraries.wright.edu/knoesis/891
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Comments
Presented at the International Conference on Artificial Intelligence, Las Vegas, NV, June 25-28, 2001.