Multiclass Classification of Motor Insurance Customers in Portugal

Detalhes bibliográficos
Autor(a) principal: Mylnikova, Ekaterina
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/127584
Resumo: The insurance market is highly competitive. To stay in line with other companies in today's world, it is not enough for a company to have the best price. The most important move now is to make a personalized offer to each client. Insurance companies have an enormous amount of data that can be used to understand their customers better. What do they want? What offer would attract new clients, and what offer would keep existing customers from leaving? The project aims to classify customers’ profiles based on their individual preferences in motor insurance.
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spelling Multiclass Classification of Motor Insurance Customers in PortugalData MiningMachine LearningMotor InsuranceClassificationDecision TreeArtificial Neural NetworkRandom ForestGradient BoostingThe insurance market is highly competitive. To stay in line with other companies in today's world, it is not enough for a company to have the best price. The most important move now is to make a personalized offer to each client. Insurance companies have an enormous amount of data that can be used to understand their customers better. What do they want? What offer would attract new clients, and what offer would keep existing customers from leaving? The project aims to classify customers’ profiles based on their individual preferences in motor insurance.Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced AnalyticsCastelli, MauroRUNMylnikova, Ekaterina2021-11-12T12:20:26Z2021-11-022021-11-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/127584TID:202786404enginfo: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:RCAAP2024-03-11T05:07:31Zoai:run.unl.pt:10362/127584Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:09.776981Repositório 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 Multiclass Classification of Motor Insurance Customers in Portugal
title Multiclass Classification of Motor Insurance Customers in Portugal
spellingShingle Multiclass Classification of Motor Insurance Customers in Portugal
Mylnikova, Ekaterina
Data Mining
Machine Learning
Motor Insurance
Classification
Decision Tree
Artificial Neural Network
Random Forest
Gradient Boosting
title_short Multiclass Classification of Motor Insurance Customers in Portugal
title_full Multiclass Classification of Motor Insurance Customers in Portugal
title_fullStr Multiclass Classification of Motor Insurance Customers in Portugal
title_full_unstemmed Multiclass Classification of Motor Insurance Customers in Portugal
title_sort Multiclass Classification of Motor Insurance Customers in Portugal
author Mylnikova, Ekaterina
author_facet Mylnikova, Ekaterina
author_role author
dc.contributor.none.fl_str_mv Castelli, Mauro
RUN
dc.contributor.author.fl_str_mv Mylnikova, Ekaterina
dc.subject.por.fl_str_mv Data Mining
Machine Learning
Motor Insurance
Classification
Decision Tree
Artificial Neural Network
Random Forest
Gradient Boosting
topic Data Mining
Machine Learning
Motor Insurance
Classification
Decision Tree
Artificial Neural Network
Random Forest
Gradient Boosting
description The insurance market is highly competitive. To stay in line with other companies in today's world, it is not enough for a company to have the best price. The most important move now is to make a personalized offer to each client. Insurance companies have an enormous amount of data that can be used to understand their customers better. What do they want? What offer would attract new clients, and what offer would keep existing customers from leaving? The project aims to classify customers’ profiles based on their individual preferences in motor insurance.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-12T12:20:26Z
2021-11-02
2021-11-02T00:00:00Z
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/10362/127584
TID:202786404
url http://hdl.handle.net/10362/127584
identifier_str_mv TID:202786404
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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