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| dc.contributor.author | Kaufmann, Michael | |
| dc.date.accessioned | 2024-12-05T09:34:19Z | |
| dc.date.available | 2024-12-05T09:34:19Z | |
| dc.date.issued | 2024-07-04 | |
| dc.identifier.issn | 2329-924X | |
| dc.identifier.uri | http://hdl.handle.net/10900/159353 | |
| dc.language.iso | en | de_DE |
| dc.publisher | IEEE | de_DE |
| dc.relation.uri | https://doi.org/10.1109/TCSS.2024.3406501 | de_DE |
| dc.subject.ddc | 004 | de_DE |
| dc.title | In-Database Feature Extraction to Improve Early Detection of Problematic Online Gambling Behavior | de_DE |
| dc.type | Preprint | de_DE |
| utue.personen.roh | Stechschulte, Gabriel | |
| utue.personen.roh | Wintner, Malte | |
| utue.personen.roh | Hemmje, Matthias | |
| utue.personen.roh | Schwarz, Jürg | |
| utue.personen.roh | Lischer, Suzanne | |
| utue.personen.roh | Kaufmann, Michael | |
| dcterms.isPartOf.ZSTitelID | IEEE Transactions on Computational Social Systems | de_DE |
| dcterms.isPartOf.ZS-Issue | 5 | de_DE |
| dcterms.isPartOf.ZS-Volume | 11 | de_DE |
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