Telco customer churn analysis: measuring the effect of different contracts

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorPinheiro, Paulo-
Autor(es): dc.creatorCavique, Luís-
Data de aceite: dc.date.accessioned2025-08-22T11:47:52Z-
Data de disponibilização: dc.date.available2025-08-22T11:47:52Z-
Data de envio: dc.date.issued2023-01-04-
Data de envio: dc.date.issued2023-01-04-
Data de envio: dc.date.issued2021-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/13022-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/13022-
Descrição: dc.descriptionCustomer retention is nowadays a challenge that requires concrete and personalized actions. Traditional data mining studies focused on predictive analytics, neglecting the business domain. This work aims to present an actionable knowledge discovery based on specific, actionable attributes and measuring of their effects. It is common to use matching, and propensity score approaches in healthcare to evaluate causality. After performing matching using the actionable attributes in this analysis, the causal effect is quantified. This work concludes that the difference between having a yearly contract versus having a monthly contract affects the churn of around 34%.-
Descrição: dc.descriptioninfo:eu-repo/semantics/publishedVersion-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Palavras-chave: dc.subjectCustomer churn-
Palavras-chave: dc.subjectActionable attributes-
Palavras-chave: dc.subjectCausality-
Palavras-chave: dc.subjectPropensity score-
Título: dc.titleTelco customer churn analysis: measuring the effect of different contracts-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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