Detecting temporal workarounds in business processes : a deep-learning-based method for analysing event log data
Sven Weinzierl, Verena Wolf, Tobias Pauli, Daniel Beverungen and Martin Matzner
| Year of publication: |
2022
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|---|---|
| Authors: | Weinzierl, Sven ; Wolf, Verena ; Pauli, Tobias ; Beverungen, Daniel ; Matzner, Martin |
| Published in: |
Journal of business analytics. - London : Taylor & Francis Group, ISSN 2573-2358, ZDB-ID 2907637-7. - Vol. 5.2022, 1, p. 76-100
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| Subject: | business process | deep learning | process mining | routines | Workaround | Data Mining | Data mining | Prozessmanagement | Business process management |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/2573234X.2021.1978337 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013270533