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Orientador(es)
Resumo(s)
This chapter describes an automatic tool that highlights potential pathological online gamblers using machine learning time series clustering algorithms. The project relies on data related to Portuguese gamblers.A theoretical overview of the two different clustering algorithms considered in this project is presented. We also provide some implementation details and the changes that we have introduced to make the algorithm executable in a parallel and efficient manner. Finally, the results obtained by the two different techniques are presented, highlighting especially the clusters of pathological gamblers obtained. This work represents a starting point for a possible future system where the individuals at risk are notified of their dangerous condition, preventing possible future gambling disorders or risky behavior.
Descrição
Palavras-chave
Machine Learning Time Series Clustering Gambling Addiction
Contexto Educativo
Citação
Castelli , M.; Fallacara, E. & Manzoni, L. (2021). GADGET - Online Gambling Addiction Detection. Time series clustering of Portuguese online gamblers. Lisboa: Instituto Superior de Estatística e Gestão de Informação da Universidade Nova de Lisboa. NOVA Information Management
School (NOVA IMS). ISBN: 978-972-8093-19-8. Link: http://hdl.handle.net/10362/110872
Editora
Instituto Superior de Estatística e Gestão de Informação da Universidade Nova de Lisboa. NOVA Information Management School (NOVA IMS)