Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/1819
Title: | Machine learning driven responsible gaming framework with apache spark | Authors: | Mijic D. Varga, Ervin |
Issue Date: | 5-Jan-2018 | Journal: | 2017 25th Telecommunications Forum, TELFOR 2017 - Proceedings | Abstract: | © 2017 IEEE. This paper tackles an important and challenging problem of protecting players from irresponsible gambling behavior. Such prevention is a crucial and mandatory obligation for major gambling providers. The paper presents a novel machine learning driven solution for implementing the responsible gaming facility. The engine leverages two powerful machine learning algorithms: random forest and gradient boosting. The tests were actualized by reusing a publicly available dataset provided by Transparency Project. The final results confirm that the proposed implementation of the framework passes the criteria as a proof of concept solution. | URI: | https://open.uns.ac.rs/handle/123456789/1819 | ISBN: | 9781538630723 | DOI: | 10.1109/TELFOR.2017.8249466 |
Appears in Collections: | FTN Publikacije/Publications |
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