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 |