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Predicting Limit-Setting Behavior of Gamblers Using Machine Learning Algorithms: A Real-World Study of Norwegian Gamblers Using Account Data.

Player protection and harm minimization have become increasingly important in the gambling industry along with the promotion of responsible gambling (RG). Among the most widespread RG tools that gaming operators provide are limit-setting tools that help players limit the amount of time and/or money...

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Publicado en:International Journal of Mental Health & Addiction Vol. 20; no. 2; pp. 771 - 789
Autores principales: Auer, Michael, Griffiths, Mark D.
Formato: Artículo
Publicado: Springer Nature Apr2022
Materias:
Machine learning
Random forest algorithms
Boosting algorithms
Business losses
Harm reduction
Acceso en línea:Ver este registro en EBSCOhost