The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance models
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/148528 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance modelsInsuranceMachine LearningTelematicInsurance PricingDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsThis work focuses on the use of Telematic Car Data in insurance pricing. Nowadays, since the data to do this kind of research is not easily accessible due to the amount of sensitive personal information, we do not know much about the impact of this kind of data on insurance pricing. In this work, we used real data using an NDA. We used different feature selection techniques to assess the importance of Telematic Features compared to conventional insurance data and different Machine Learning algorithms to evaluate how the Telematic Data influences the prediction power of a claim happening. Towards the end of our work, we could see that using Telematic Data in insurance pricing increases our algorithms' prediction power and opens plenty of doors on the the use of Telematic Data for the future of insurance pricing.Henriques, Roberto André PereiraRUNSantos, Pedro Henrique Godeiro Heleno dos2023-02-02T10:23:06Z2023-01-232023-01-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/148528TID:203210476enginfo: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:RCAAP2024-03-11T05:30:08Zoai:run.unl.pt:10362/148528Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:23.892757Repositório 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 |
The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance models |
title |
The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance models |
spellingShingle |
The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance models Santos, Pedro Henrique Godeiro Heleno dos Insurance Machine Learning Telematic Insurance Pricing Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
title_short |
The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance models |
title_full |
The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance models |
title_fullStr |
The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance models |
title_full_unstemmed |
The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance models |
title_sort |
The use of telematic data on car insurance: How to use Machine Learning Models to implement telematic data on car insurance models |
author |
Santos, Pedro Henrique Godeiro Heleno dos |
author_facet |
Santos, Pedro Henrique Godeiro Heleno dos |
author_role |
author |
dc.contributor.none.fl_str_mv |
Henriques, Roberto André Pereira RUN |
dc.contributor.author.fl_str_mv |
Santos, Pedro Henrique Godeiro Heleno dos |
dc.subject.por.fl_str_mv |
Insurance Machine Learning Telematic Insurance Pricing Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
topic |
Insurance Machine Learning Telematic Insurance Pricing Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-02-02T10:23:06Z 2023-01-23 2023-01-23T00:00:00Z |
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/10362/148528 TID:203210476 |
url |
http://hdl.handle.net/10362/148528 |
identifier_str_mv |
TID:203210476 |
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 |
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1799138124540936192 |