Detection of Fraudulent Transactions through a Generalized Mixed Linear Model.

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dc.citation.journalTitleIngeniería Y Cienciaeng
dc.contributor.authorCogollo M
dc.contributor.authorGomez, Jackelyne
dc.contributor.departmentUniversidad EAFIT. Escuela de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.date.accessioned2021-04-12T14:07:12Z
dc.date.available2021-04-12T14:07:12Z
dc.date.issued2012-02-01
dc.description.abstractThe detection of bank frauds has been a topic in which many financial sector companies have invested more time and resources to mitigate it and thus stay safe, howevereng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=5462
dc.identifier.doi10.17230/ingciencia.8.16.8
dc.identifier.issn17949165
dc.identifier.urihttp://hdl.handle.net/10784/27775
dc.language.isospaeng
dc.publisherFondo Editorial Universidad EAFIT
dc.relation.urihttps://www.researchgate.net/publication/262753456_Detection_of_Fraudulent_Transactions_Through_a_Generalized_Mixed_Linear_Models
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1794-9165
dc.sourceIngeniería Y Ciencia
dc.titleDetection of Fraudulent Transactions through a Generalized Mixed Linear Model.eng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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