dc.contributorWagner Meira Junior
dc.contributorAdriano César Machado Pereira
dc.contributorAdriano Alonso Veloso
dc.contributorLeonardo Barbosa e Oliveira
dc.contributorMarden Silveira Neubert
dc.creatorJosé Felipe Júnior
dc.date.accessioned2019-08-14T01:04:23Z
dc.date.accessioned2022-10-04T00:46:54Z
dc.date.available2019-08-14T01:04:23Z
dc.date.available2022-10-04T00:46:54Z
dc.date.created2019-08-14T01:04:23Z
dc.date.issued2012-03-30
dc.identifierhttp://hdl.handle.net/1843/ESBF-8SYPK3
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3836516
dc.description.abstractWith Internet popularity, the number of people who use it to make financial transactions increase every year. This happen due to the facilities promoted by the Web to make purchases and payments at any time and anywhere. However, this popularity has been attracted criminals attention resulting in a significantly increased the number of fraud cases in this scenario. The worldwide financial losses reach billions of dollars per year, which shows the need for a study of fraud in the light of this new context. This work use the knowledge discovery process for fraud detection in online payments. More than that, is a comprehensive survey conducted in the fraud detection area where we worrying about issues ranging from the database, passing by the evaluation of the most promising techniques, to issues related to the financial return to the techniques. As a way of evaluating the proposed approach, we defined a concept of economic efficiency and applied to a real dataset from one of the largest Brazilian companies in electronic payment services. The results show a good performance in detecting fraud, with gains in excess of the current situation of the company.
dc.publisherUniversidade Federal de Minas Gerais
dc.publisherUFMG
dc.rightsAcesso Aberto
dc.subjectComércio Eletrônico
dc.subjectAplicação Web
dc.subjectMineração de Dados
dc.subjectKDD
dc.subjectDetecção de Fraudes
dc.titleMineração de dados para detecção de fraudes em transações eletrônicas
dc.typeDissertação de Mestrado


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