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An improved global feature selection scheme for text classification

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dc.contributor.authorUysal, Alper Kürşat
dc.contributor.orcid0000-0002-4057-934X
dc.date.accessioned2025-11-13T09:00:26Z
dc.date.issued2015-09-06
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2015.08.050
dc.identifier.endpage92
dc.identifier.issn0957-4174
dc.identifier.openalexW1426199569
dc.identifier.startpage82
dc.identifier.urihttps://hdl.handle.net/11421/185
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2015.08.050
dc.identifier.volume43
dc.language.isoen
dc.relation.ispartofExpert Systems with Applications
dc.rightsrestrictedAccess
dc.subjectFeature selection
dc.subjectDiscriminative model
dc.subjectPattern recognition (psychology)
dc.subjectFeature (linguistics)
dc.subjectArtificial intelligence
dc.subjectComputer science
dc.subjectBenchmark (surveying)
dc.subjectFilter (signal processing)
dc.subjectFeature vector
dc.subjectCurse of dimensionality
dc.subjectSet (abstract data type)
dc.subjectLinear classifier
dc.subjectData mining
dc.subjectSupport vector machine
dc.subject.sdg10
dc.titleAn improved global feature selection scheme for text classification
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5060591593

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