Machine learning in business process monitoring: a comparison of deep learning and classical approaches used for outcome prediction
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| Author: | Wolfgang Kratsch, Jonas Manderscheid, Maximilian Röglinger, Johannes Seyfried |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-791316 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/79131 |
| ISSN: | 2363-7005OPAC |
| ISSN: | 1867-0202OPAC |
| Parent Title (English): | Business and Information Systems Engineering |
| Publisher: | Springer Science and Business Media LLC |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2021 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2020/08/28 |
| Volume: | 63 |
| First Page: | 261 |
| Last Page: | 276 |
| DOI: | https://doi.org/10.1007/s12599-020-00645-0 |
| Institutes: | Wirtschaftswissenschaftliche Fakultät |
| Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre | |
| Dewey Decimal Classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
| Licence (German): |  CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand) |
