Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/143134 |
Resumo: | Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management |
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Using Data Mining to improve Claims Management: A project implementation in a logistic carrier companyClaims ManagementParcelsData MiningClassification AlgorithmsRandom ForestProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementClaims are a pain for any logistic carrier. Contracts can have terms and conditions with obligations on compensations whenever a service level agreement is not intended and insurance services. Claims management is a business itself. In the United States, companies specialize in claims handling that work for shippers on a success fee model basis, maximizing the amount paid for each compensation as a primary goal. Data mining can have an essential role in helping organizations avoid claims and improve costs on claims management. The use of classification models can help organizations enhance SLA and claims management. This document describes an approach to a study on SquareLogistics (fictitious company name) to use data mining to predict claims process results based on parcel data and reduce claims management costs.Pinheiro, Flávio Luís PortasRUNSantos, Jorge Eduardo Janela Gonçalves dos2022-06-232025-06-23T00:00:00Z2022-06-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/143134TID:203054547enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:21:17Zoai:run.unl.pt:10362/143134Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:43.649243Repositório 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 |
Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company |
title |
Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company |
spellingShingle |
Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company Santos, Jorge Eduardo Janela Gonçalves dos Claims Management Parcels Data Mining Classification Algorithms Random Forest |
title_short |
Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company |
title_full |
Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company |
title_fullStr |
Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company |
title_full_unstemmed |
Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company |
title_sort |
Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company |
author |
Santos, Jorge Eduardo Janela Gonçalves dos |
author_facet |
Santos, Jorge Eduardo Janela Gonçalves dos |
author_role |
author |
dc.contributor.none.fl_str_mv |
Pinheiro, Flávio Luís Portas RUN |
dc.contributor.author.fl_str_mv |
Santos, Jorge Eduardo Janela Gonçalves dos |
dc.subject.por.fl_str_mv |
Claims Management Parcels Data Mining Classification Algorithms Random Forest |
topic |
Claims Management Parcels Data Mining Classification Algorithms Random Forest |
description |
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-23 2022-06-23T00:00:00Z 2025-06-23T00:00:00Z |
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/10362/143134 TID:203054547 |
url |
http://hdl.handle.net/10362/143134 |
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TID:203054547 |
dc.language.iso.fl_str_mv |
eng |
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eng |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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