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Incorporating Topic Information in a Global Feature Selection Schema for Authorship Attribution

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dc.contributor.authorHayri Volkan Agun
dc.contributor.authorAgun, Hayri Volkan
dc.contributor.authorÖzgür Yılmazel
dc.contributor.authorÇABUK, ALPER
dc.contributor.orcid0000-0002-4253-8920
dc.contributor.orcid0000-0001-8917-6499
dc.date.accessioned2025-11-13T10:22:09Z
dc.date.issued2019-01-01
dc.identifier.doi10.1109/access.2019.2930536
dc.identifier.endpage98529
dc.identifier.issn2169-3536
dc.identifier.openalexW2964016568
dc.identifier.scopus2-s2.0-85079830378
dc.identifier.startpage98522
dc.identifier.urihttps://hdl.handle.net/11421/3937
dc.identifier.urihttps://doi.org/10.1109/access.2019.2930536
dc.identifier.volume7
dc.identifier.wos000480326700028
dc.language.isoen
dc.relation.ispartofIEEE Access
dc.rightsopenAccess
dc.subjectSchema (genetic algorithms)
dc.subjectComputer science
dc.subjectFeature selection
dc.subjectSelection (genetic algorithm)
dc.subjectArtificial intelligence
dc.subjectRelevance (law)
dc.subjectInformation retrieval
dc.subjectFeature (linguistics)
dc.subjectData mining
dc.subjectNatural language processing
dc.subjectPattern recognition (psychology)
dc.titleIncorporating Topic Information in a Global Feature Selection Schema for Authorship Attribution
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5078860359
local.authorid.openalexA5014108503

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