Applications of data science for responsible gambling: A sco** review
Technological innovations in the gambling industry have revolutionized the availability,
storage, and use-cases of data. How this data may be leveraged for responsible gambling …
storage, and use-cases of data. How this data may be leveraged for responsible gambling …
Behavioural tracking and profiling studies involving objective data derived from online operators: A review of the evidence
Studies involving the analysis of objective data from online operators attempt to address
common concerns about biases in self-report research. This paper surveys the progress in …
common concerns about biases in self-report research. This paper surveys the progress in …
Early risk detection of pathological gambling, self-harm and depression using bert
Evaluating the generalizability of payment behavioral profiles across gambling brands
ABSTRACT A gambler's payment behavior–the deposit and withdrawal of funds–precedes
and follows the act of gambling. Given this separation, the methods and results of machine …
and follows the act of gambling. Given this separation, the methods and results of machine …
Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis
In the age of social media, user-generated content is critical for detecting early signs of
mental disorders. In this study, we use thematic clustering to analyze the content of the …
mental disorders. In this study, we use thematic clustering to analyze the content of the …
Unmasking Risky Habits: Identifying and Predicting Problem Gamblers Through Machine Learning Techniques
MC Sándor, B Bakó - Journal of Gambling Studies, 2024 - Springer
The use of machine learning techniques to identify problem gamblers has been widely
established. However, existing methods often rely on self-reported labeling, such as …
established. However, existing methods often rely on self-reported labeling, such as …
Unmasking Risky Habits: Identifying and Predicting Problem Gambler Status Through Machine Learning Techniques
MC Sándor, B Bako - Available at SSRN 4517798, 2023 - papers.ssrn.com
The use of machine learning techniques to identify problem gamblers has been widely
established. However, existing methods often rely on self-reported labeling, such as …
established. However, existing methods often rely on self-reported labeling, such as …
Omnipresent: Online Gambling in Ireland
K McMahon - 2022 - norma.ncirl.ie
Introduction: The gambling industry (GI) has undergone significant changes in recent years
as it has embraced new technologies encompassing online gambling which have altered …
as it has embraced new technologies encompassing online gambling which have altered …