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Variable Selection with Machine Learning in the Legalization Process for Traffic Insurance

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dc.contributor.authorGÜNEŞ, Vedat
dc.contributor.authorKIRCA, Serkan
dc.contributor.authorHasar Ersan YAGCI
dc.contributor.authorNida Gökçe
dc.contributor.orcid0000-0002-5665-5909
dc.contributor.orcid0000-0002-5799-4312
dc.contributor.orcid0000-0002-4840-5408
dc.date.accessioned2025-11-13T18:52:50Z
dc.date.issued2023-08-30
dc.identifier.doi10.55549/epstem.1350947
dc.identifier.endpage246
dc.identifier.issn2602-3199
dc.identifier.openalexW4386269640
dc.identifier.startpage237
dc.identifier.urihttps://hdl.handle.net/11421/10926
dc.identifier.urihttps://doi.org/10.55549/epstem.1350947
dc.identifier.volume22
dc.language.isoen
dc.relation.ispartofThe Eurasia Proceedings of Science Technology Engineering and Mathematics
dc.rightsopenAccess
dc.subjectLegalization
dc.subjectFeature selection
dc.subjectSelection (genetic algorithm)
dc.subjectComputer science
dc.subjectProcess (computing)
dc.subjectVariable (mathematics)
dc.subjectArtificial intelligence
dc.subjectMachine learning
dc.subjectBusiness
dc.subjectPolitical science
dc.subjectMathematics
dc.subjectLaw
dc.subjectOperating system
dc.titleVariable Selection with Machine Learning in the Legalization Process for Traffic Insurance
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5047071370
local.authorid.openalexA5029560174

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