Feature Subset Selection Using a Genetic Algorithm

dc.contributor.author Yang, Jihoon
dc.contributor.author Honavar, Vasant
dc.contributor.department Computer Science
dc.date 2018-02-13T23:12:24.000
dc.date.accessioned 2020-06-30T01:55:24Z
dc.date.available 2020-06-30T01:55:24Z
dc.date.issued 1997-05-03
dc.description.abstract <p>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.</p>
dc.identifier archive/lib.dr.iastate.edu/cs_techreports/156/
dc.identifier.articleid 1174
dc.identifier.contextkey 5409305
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath cs_techreports/156
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/19968
dc.source.bitstream archive/lib.dr.iastate.edu/cs_techreports/156/TR97_02a.pdf|||Fri Jan 14 20:43:30 UTC 2022
dc.subject.disciplines Artificial Intelligence and Robotics
dc.subject.disciplines Programming Languages and Compilers
dc.subject.keywords feature subset selection
dc.subject.keywords genetic algorithms
dc.subject.keywords constructive neural net learning algorithms
dc.title Feature Subset Selection Using a Genetic Algorithm
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isOrgUnitOfPublication f7be4eb9-d1d0-4081-859b-b15cee251456
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