| dc.contributor.author | Lavelle-Hill, Rosa |  | 
| dc.date.accessioned | 2022-07-06T12:25:53Z |  | 
| dc.date.available | 2022-07-06T12:25:53Z |  | 
| dc.date.issued | 2021 |  | 
| dc.identifier.issn | 2662-9992 |  | 
| dc.identifier.uri | http://hdl.handle.net/10900/129259 |  | 
| dc.language.iso | en | de_DE | 
| dc.publisher | London | de_DE | 
| dc.relation.uri | http://dx.doi.org/10.1057/s41599-021-00938-z | de_DE | 
| dc.subject.ddc | 300 | de_DE | 
| dc.title | Machine learning methods for wicked problems: exploring the complex drivers of modern slavery | de_DE | 
| dc.type | Article | de_DE | 
| utue.quellen.id | 20220404000000_00520 |  | 
| utue.personen.roh | Lavelle-Hill, Rosa |  | 
| utue.personen.roh | Smith, Gavin |  | 
| utue.personen.roh | Mazumder, Anjali |  | 
| utue.personen.roh | Landman, Todd |  | 
| utue.personen.roh | Goulding, James |  | 
| dcterms.isPartOf.ZSTitelID | Humanities & Social Sciences Communications | de_DE | 
| dcterms.isPartOf.ZS-Issue | 1 | de_DE | 
| dcterms.isPartOf.ZS-Volume | 8 | de_DE | 
| utue.fakultaet | 06 Wirtschafts- und sozialwissenschaftliche Fakultät | de_DE |