Big Data 2.0 – mit synthetischen Daten KI-Systeme stärken
| dc.contributor.author | Hecker, Dirk | |
| dc.contributor.author | Voss, Angi | |
| dc.contributor.author | Paaß, Gerhard | |
| dc.contributor.author | Wirtz, Tim | |
| dc.date | 2023-04-01 | |
| dc.date.accessioned | 2023-06-21T09:09:24Z | |
| dc.date.available | 2023-06-21T09:09:24Z | |
| dc.date.issued | 2023 | |
| dc.identifier.doi | 10.1365/s35764-022-00437-z | |
| dc.identifier.issn | 1867-5913 | |
| dc.identifier.uri | http://dx.doi.org/10.1365/s35764-022-00437-z | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/41723 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Wirtschaftsinformatik & Management: Vol. 15, No. 2 | |
| dc.relation.ispartofseries | Wirtschaftsinformatik & Management | |
| dc.title | Big Data 2.0 – mit synthetischen Daten KI-Systeme stärken | de |
| dc.type | Text/Journal Article | |
| mci.reference.pages | 161-167 |