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Detection of fraud due to misleading customer claims in banking entities through data mining techniques: a systematic review. [Detección de fraudes por reclamos engañosos de clientes en entidades bancarias a través de técnicas de minería de datos: una revisión sistemática.]

dc.contributor.authorHenao M.V
dc.contributor.authorMarín L.M.G
dc.contributor.authorVillegas H.H.J
dc.contributor.authorEscobar C.C.P
dc.contributor.authorCano L.M.S.
dc.date.accessioned2022-09-14T14:33:41Z
dc.date.available2022-09-14T14:33:41Z
dc.date.created2021
dc.identifier.issn16469895
dc.identifier.urihttp://hdl.handle.net/11407/7429
dc.descriptionIn the banking sector there are claims from customers, and as in the insurance sector, some correspond to cases of fraud. This work seeks to provide a literature review that allows an account of the data mining work that has been done on the subject. The analysis methodology is in place in the gathering of scientific information that has been investigated in the period 2015-2019. Two search equations are proposed and in a process of several phases the documents that are the object of study were selected. In the results, 13 relevant documents were found, which apply data mining techniques that have been grouped here into 5 categories, and 30 techniques, which have shown the best performance have been neural networks, decision trees and vector support machines. © 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.eng
dc.language.isospa
dc.publisherAssociacao Iberica de Sistemas e Tecnologias de Informacao
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85124384631&partnerID=40&md5=8a5660a84c4ce8bb38c5bc49b57a4f5b
dc.sourceRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
dc.titleDetection of fraud due to misleading customer claims in banking entities through data mining techniques: a systematic review. [Detección de fraudes por reclamos engañosos de clientes en entidades bancarias a través de técnicas de minería de datos: una revisión sistemática.]
dc.typeArticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Sistemas
dc.publisher.programCiencias Básicas
dc.type.spaArtículo
dc.subject.keywordData miningeng
dc.subject.keywordFraud detectioneng
dc.subject.keywordFraudulent claimeng
dc.subject.keywordSystematic revieweng
dc.relation.citationvolume2021
dc.relation.citationissueE43
dc.relation.citationstartpage276
dc.relation.citationendpage286
dc.publisher.facultyFacultad de Ingenierías
dc.publisher.facultyFacultad de Ciencias Básicas
dc.affiliationHenao, M.V., Estudiante Maestría en Modelación y Ciencia Computacional, Universidad de Medellín, Antioquia, Colombia
dc.affiliationMarín, L.M.G., Facultad de Ingenierías, Universidad de Medellín, Antioquia, Colombia
dc.affiliationVillegas, H.H.J., Facultad de Ciencias Básicas, Universidad de Medellín, Antioquia, Colombia
dc.affiliationEscobar, C.C.P., Facultad de Ciencias Básicas, Universidad de Medellín, Antioquia, Colombia
dc.affiliationCano, L.M.S., Grupo de Investigación Arkadius, Facultad de Ingenierías, Universidad de Medellín, Antioquia, Colombia
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dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín


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