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 |