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Is fraud detection feasible without training data? Testing an expert-based approach

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dc.contributor.authorBENLİGİRAY, SERDAR
dc.contributor.authorAhmet Onay
dc.contributor.authorFatma Yaşlı
dc.contributor.orcid0000-0001-7593-7971
dc.contributor.orcid0000-0003-1182-6003
dc.contributor.orcid0000-0002-0768-8392
dc.date.accessioned2025-11-13T16:29:02Z
dc.date.issued2025-03-26
dc.identifier.doihttps://doi.org/10.3846/jbem.2025.23443
dc.identifier.endpage230
dc.identifier.issn1611-1699
dc.identifier.issue1
dc.identifier.openalexW4408848762
dc.identifier.startpage210
dc.identifier.urihttps://hdl.handle.net/11421/10106
dc.identifier.urihttps://doi.org/10.3846/jbem.2025.23443
dc.identifier.volume26
dc.language.isoen
dc.relation.ispartofJournal of Business Economics and Management
dc.rightsopenAccess
dc.subjectTraining (meteorology)
dc.subjectComputer science
dc.subjectTraining set
dc.subjectMachine learning
dc.subjectEconometrics
dc.subjectArtificial intelligence
dc.subjectEconomics
dc.titleIs fraud detection feasible without training data? Testing an expert-based approach
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5080814610

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