Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer

Detalhes bibliográficos
Autor(a) principal: Oliveira, Inês Bruno de
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/32561
Resumo: Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management
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spelling Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurerRiskFraudInsuranceNeural NetworksProject Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and ManagementInsurance relies on a complex trust-based relationship in which a policyholder pays in advance to be protected in the future. In Portugal, workers’ compensation insurance is mandatory which may restrict the course of action of both players. Insurers face significant losses, not only due to its core business, but also due to the swindles of claimants and policyholders. Insureds may not have in the market what they really want to acquire which may encourage fraudulent actions. Traditional fraud detection methods are no longer adequately protecting institutions in a world with increasingly sophisticated fraud techniques. This work focuses on creating an artificial neural network which will learn with insurance data and evolve continuously over time, anticipating fraudulent behaviours or actors, and contribute to institutions risk protection strategies.Gonçalves, Rui Alexandre HenriquesRUNOliveira, Inês Bruno de2018-03-15T18:43:15Z2018-03-142018-03-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/32561TID:201880440enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:18:08Zoai:run.unl.pt:10362/32561Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:29:54.262779Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer
title Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer
spellingShingle Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer
Oliveira, Inês Bruno de
Risk
Fraud
Insurance
Neural Networks
title_short Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer
title_full Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer
title_fullStr Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer
title_full_unstemmed Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer
title_sort Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer
author Oliveira, Inês Bruno de
author_facet Oliveira, Inês Bruno de
author_role author
dc.contributor.none.fl_str_mv Gonçalves, Rui Alexandre Henriques
RUN
dc.contributor.author.fl_str_mv Oliveira, Inês Bruno de
dc.subject.por.fl_str_mv Risk
Fraud
Insurance
Neural Networks
topic Risk
Fraud
Insurance
Neural Networks
description Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management
publishDate 2018
dc.date.none.fl_str_mv 2018-03-15T18:43:15Z
2018-03-14
2018-03-14T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/32561
TID:201880440
url http://hdl.handle.net/10362/32561
identifier_str_mv TID:201880440
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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