A novel chemistry based metaheuristic optimization method for mining of classification rules

Authors:
Bilal Alatas
Affiliations:
Department of Computer Engineering, Tunceli University, TR62000 Tunceli, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

When investigated carefully, chemical reactions possess efficient objects, states, process, and events that can be designed as a computational method en bloc. In this study, a novel computational method, which is robust and have less parameters than that of used in the literature, is intended to be developed inspiring from types and occurring of chemical reactions. The proposed method is named as artificial chemical reaction optimization algorithm, ACROA. In this study, one of the first applications of this method has been performed in classification rule discovery field of data mining and efficiency has been demonstrated.