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.]
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Date
2021Author
Henao M.V
Marín L.M.G
Villegas H.H.J
Escobar C.C.P
Cano L.M.S.
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In 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.
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