| Author | Graef, Roland | dc.contributor.author |
| Date of accession | 2022-01-20T12:31:14Z | dc.date.accessioned |
| Available in OPARU since | 2022-01-20T12:31:14Z | dc.date.available |
| Date of first publication | 2021 | dc.date.issued |
| Language | en | dc.language.iso |
| Publisher | Universität Ulm | dc.publisher |
| Dewey Decimal Group | DDC 004 / Data processing & computer science | dc.subject.ddc |
| Dewey Decimal Group | DDC 330 / Economics | dc.subject.ddc |
| LCSH | Artificial intelligence | dc.subject.lcsh |
| LCSH | Big data | dc.subject.lcsh |
| LCSH | Information storage and retrieval | dc.subject.lcsh |
| LCSH | Machine learning | dc.subject.lcsh |
| Title | Artificial intelligence approaches for supporting organizations coping with the challenges of unstructured data: contributions to research related to text data, voice & image data and text in image data | dc.title |
| Resource type | Dissertation | dc.type |
| Date of acceptance | 2021-11-22 | dcterms.dateAccepted |
| Referee | Klier, Mathias | dc.contributor.referee |
| Referee | Zimmermann, Steffen | dc.contributor.referee |
| PPN | 178659479X | dc.identifier.ppn |
| GND | Künstliche Intelligenz | dc.subject.gnd |
| GND | Data Mining | dc.subject.gnd |
| GND | Fallbasiertes Schließen | dc.subject.gnd |
| GND | Maschinelles Lernen | dc.subject.gnd |
| Faculty | Fakultät für Mathematik und Wirtschaftswissenschaften | uulm.affiliationGeneral |
| Institution | Institut für Business Analytics | uulm.affiliationSpecific |
| DCMI Type | Text | uulm.typeDCMI |
| Category | Publikationsnachweise | uulm.category |
| Bibliography | uulm | uulm.bibliographie |
