A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector

Detalhes bibliográficos
Autor(a) principal: Kandel, Ibrahem Hamdy Abdelhamid
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/60302
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRM
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spelling A comparative study of tree-based models for churn prediction : a case study in the telecommunication sectorChurn predictionPredictive modellingDecision treesData miningCustomer churnCRMRandom ForestsDecision TreesEnsembleBaggingDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRMIn the recent years the topic of customer churn gains an increasing importance, which is the phenomena of the customers abandoning the company to another in the future. Customer churn plays an important role especially in the more saturated industries like telecommunication industry. Since the existing customers are very valuable and the acquisition cost of new customers is very high nowadays. The companies want to know which of their customers and when are they going to churn to another provider, so that measures can be taken to retain the customers who are at risk of churning. Such measures could be in the form of incentives to the churners, but the downside is the wrong classification of a churners will cost the company a lot, especially when incentives are given to some non-churner customers. The common challenge to predict customer churn will be how to pre-process the data and which algorithm to choose, especially when the dataset is heterogeneous which is very common for telecommunication companies’ datasets. The presented thesis aims at predicting customer churn for telecommunication sector using different decision tree algorithms and its ensemble models.Henriques, Roberto André PereiraRUNKandel, Ibrahem Hamdy Abdelhamid2019-02-12T18:48:26Z2019-01-222019-01-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/60302TID:202168522enginfo: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:RCAAP2024-03-11T04:28:50Zoai:run.unl.pt:10362/60302Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:33:29.524367Repositório 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 A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector
title A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector
spellingShingle A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector
Kandel, Ibrahem Hamdy Abdelhamid
Churn prediction
Predictive modelling
Decision trees
Data mining
Customer churn
CRM
Random Forests
Decision Trees
Ensemble
Bagging
title_short A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector
title_full A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector
title_fullStr A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector
title_full_unstemmed A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector
title_sort A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector
author Kandel, Ibrahem Hamdy Abdelhamid
author_facet Kandel, Ibrahem Hamdy Abdelhamid
author_role author
dc.contributor.none.fl_str_mv Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Kandel, Ibrahem Hamdy Abdelhamid
dc.subject.por.fl_str_mv Churn prediction
Predictive modelling
Decision trees
Data mining
Customer churn
CRM
Random Forests
Decision Trees
Ensemble
Bagging
topic Churn prediction
Predictive modelling
Decision trees
Data mining
Customer churn
CRM
Random Forests
Decision Trees
Ensemble
Bagging
description Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRM
publishDate 2019
dc.date.none.fl_str_mv 2019-02-12T18:48:26Z
2019-01-22
2019-01-22T00:00:00Z
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/10362/60302
TID:202168522
url http://hdl.handle.net/10362/60302
identifier_str_mv TID:202168522
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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