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Predictive modelling applied to propensity to buy personal accidents insurance products

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Detalhes bibliográficos
Resumo:Predictive models have been largely used in organizational scenarios with the increasing popularity of machine learning. They play a fundamental role in the support of customer acquisition in marketing campaigns. This report describes the development of a propensity to buy model for personal accident insurance products. The entire process from business understanding to the deployment of the final model is analyzed with the objective of linking the theory to practice.
Autores principais:Santos, Esdras Christo Moura dos
Assunto:Predictive models Data mining Supervised learning Propensity to buy Logistic regression Decision trees Artificial neural networks Ensemble models
Ano:2018
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL

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