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Hybrid feature selection for text classification

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dc.contributor.authorGünal, Serkan
dc.contributor.orcid0000-0002-9691-1575
dc.date.accessioned2025-11-13T09:15:54Z
dc.date.issued2012-01-01
dc.identifier.doihttps://doi.org/10.3906/elk-1101-1064
dc.identifier.issn1300-0632
dc.identifier.openalexW251061919
dc.identifier.urihttps://hdl.handle.net/11421/944
dc.identifier.urihttps://doi.org/10.3906/elk-1101-1064
dc.language.isoen
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
dc.rightsrestrictedAccess
dc.subjectFeature selection
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectRedundancy (engineering)
dc.subjectMinimum redundancy feature selection
dc.subjectPattern recognition (psychology)
dc.subjectSelection (genetic algorithm)
dc.subjectFeature (linguistics)
dc.subjectData mining
dc.subjectSet (abstract data type)
dc.subjectFilter (signal processing)
dc.subjectField (mathematics)
dc.subjectMachine learning
dc.subjectMathematics
dc.subject.sdg4
dc.titleHybrid feature selection for text classification
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5003391938

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