Machine learning in business process monitoring : a comparison of deep learning and classical approaches used for outcome prediction
Wolfgang Kratsch, Jonas Manderscheid, Maximilian Röglinger, Johannes Seyfried
| Year of publication: |
2021
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|---|---|
| Authors: | Kratsch, Wolfgang ; Manderscheid, Jonas Hans ; Röglinger, Maximilian ; Seyfried, Johannes |
| Published in: |
Business & information systems engineering. - Atlanta, Georgia : AIS, ISSN 1867-0202, ZDB-ID 2478345-6. - Vol. 63.2021, 3, p. 261-276
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| Subject: | Predictive process monitoring | Business process management | Outcome prediction | Deep learning | Machine learning | Künstliche Intelligenz | Artificial intelligence | Prozessmanagement | Prognoseverfahren | Forecasting model | Lernen | Learning |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s12599-020-00645-0 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012542845