dc.contributorLouzada Neto, Francisco
dc.contributorhttp://lattes.cnpq.br/0994050156415890
dc.contributorhttp://lattes.cnpq.br/4491534010544521
dc.creatorFrazzato Viana, Renato
dc.date.accessioned2016-09-20T18:16:33Z
dc.date.available2016-09-20T18:16:33Z
dc.date.created2016-09-20T18:16:33Z
dc.date.issued2015-12-18
dc.identifierFRAZZATO VIANA, Renato. Técnicas de classificação aplicadas a credit scoring: revisão sistemática e comparação. 2015. Dissertação (Mestrado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2015. Disponível em: https://repositorio.ufscar.br/handle/ufscar/7294.
dc.identifierhttps://repositorio.ufscar.br/handle/ufscar/7294
dc.description.abstractNowadays the increasing amount of bank transactions and the increasing of data storage created a demand for risk evaluation associated with personal loans. It is very important for a company has a very good tools in credit risk evaluation because theses tools can avoid money losses. In this context, it is interesting estimate the default probability for a customers and, the credit scoring techniques are very useful for this task. This work presents a credit scoring literature review with and aim to give a overview covering many techniques employed in credit scoring and, a computational study is accomplished in order to compare some of the techniques seen in this text.
dc.languagepor
dc.publisherUniversidade Federal de São Carlos
dc.publisherUFSCar
dc.publisherPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEs
dc.publisherCâmpus São Carlos
dc.rightsAcesso aberto
dc.subjectCredit-scoring
dc.subjectData-mining
dc.subjectRisco de credito
dc.subjectRevisão
dc.subjectTécnicas
dc.subjectCredit-scoring
dc.subjectData-mining
dc.subjectReview
dc.subjectTechniques
dc.titleTécnicas de classificação aplicadas a credit scoring: revisão sistemática e comparação
dc.typeTesis


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