Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/1819
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mijic D. | en |
dc.contributor.author | Varga, Ervin | en |
dc.date.accessioned | 2019-09-23T10:17:57Z | - |
dc.date.available | 2019-09-23T10:17:57Z | - |
dc.date.issued | 2018-01-05 | en |
dc.identifier.isbn | 9781538630723 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/1819 | - |
dc.description.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. | en |
dc.relation.ispartof | 2017 25th Telecommunications Forum, TELFOR 2017 - Proceedings | en |
dc.title | Machine learning driven responsible gaming framework with apache spark | en |
dc.type | Conference Paper | en |
dc.identifier.doi | 10.1109/TELFOR.2017.8249466 | en |
dc.identifier.scopus | 2-s2.0-85045833307 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85045833307 | en |
dc.relation.lastpage | 4 | en |
dc.relation.firstpage | 1 | en |
dc.relation.volume | 2017-January | en |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Departman za energetiku, elektroniku i telekomunikacije | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
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