Identification of Users in a Gambling Problem with the Use of Machine Learning
Asian Conference on Intelligent Information and Database Systems, 2024•Springer
In this article, we address the pressing issue of problem gambling and the initiatives
undertaken by bookmaking companies to foster responsible gambling. The primary
objective of this research is to identify users at risk of developing gambling addiction. To
achieve this, we employ machine learning techniques and preprocessing tools to acquire
and anonymize user data. A comprehensive dataset is utilized to pinpoint individuals who
are at a heightened risk. The study specifically focuses on devising an automated method to …
undertaken by bookmaking companies to foster responsible gambling. The primary
objective of this research is to identify users at risk of developing gambling addiction. To
achieve this, we employ machine learning techniques and preprocessing tools to acquire
and anonymize user data. A comprehensive dataset is utilized to pinpoint individuals who
are at a heightened risk. The study specifically focuses on devising an automated method to …
Abstract
In this article, we address the pressing issue of problem gambling and the initiatives undertaken by bookmaking companies to foster responsible gambling. The primary objective of this research is to identify users at risk of developing gambling addiction. To achieve this, we employ machine learning techniques and preprocessing tools to acquire and anonymize user data. A comprehensive dataset is utilized to pinpoint individuals who are at a heightened risk.
The study specifically focuses on devising an automated method to detect early indicators of irresponsible gambling behaviours. By applying advanced machine learning algorithms to a tailored set of features, we aim to identify the initial signs of potential gambling issues. The methodology does not rely on a singular algorithm, ensuring a broad and effective approach to problem identification.
The efficacy of this approach is validated through computational experiments, which are conducted on real data and subsequently verified by specialists in the field of gambling addiction. The results demonstrate a significant capability in successfully identifying users who exhibit early signs of potential gambling problems. This research contributes to the academic understanding of problem gambling and offers practical solutions for responsible gambling initiatives.
Springer
Showing the best result for this search. See all results