A novel two level evolutionary approach for classification rules extraction

Authors:
Ahmed Riadh Baba-Ali
Affiliations:
LRPE Laboratory, University of Sciences and Technology Houari Boumediene, Bab-Ezzouar, Algiers, Algeria
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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Abstract

In this paper, we present a description of our research in the field of data mining. We describe a two level hybrid evolutionary approach for classification rule extraction. Our method is a mix of two classic approaches called respectively Michigan and Pittsburg approaches. The goal is to take advantage of both approaches while minimising their drawbacks. The result has been compared favourably to classical approaches.