Using Data Mining to improve Claims Management: A project implementation in a logistic carrier company

Detalhes bibliográficos
Autor(a) principal: Santos, Jorge Eduardo Janela Gonçalves dos
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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spelling 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
identifier_str_mv TID:203054547
dc.language.iso.fl_str_mv eng
language eng
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dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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