Feature Subset Selection Using a Genetic Algorithm

Yang, Jihoon and Honavar, Vasant (1997) Feature Subset Selection Using a Genetic Algorithm. Technical Report TR97-02a, Department of Computer Science, Iowa State University.

Abstract

Feature Subset Selection Using a Genetic Algorithm
Jihoon Yang and Vasant Honavar
Artificial Intelligence Research Group
Department of Computer Science
226 Atanasoff Hall
Iowa State University
Ames, IA 50011
{yang|honavar}@cs.iastate.edu
Abstract
Practical pattern classification and knowledge discovery problems require
selection of a subset of attributes or features (from a much larger set)
to represent the patterns to be classified. This paper presents an
approach to the multi-criteria optimization problem of feature subset
selection using a genetic algorithm. Our experiments demonstrate the
feasibility of this approach for feature subset selection in automated
design of neural networks for pattern classification and knowledge discovery.


Subjects:
All uncategorized technical reports


ID code:
00000154
Deposited by:
Staff Account on 05 May 1997





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