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Supporting Process Mining with Recovered Residual Data
Englbrecht, Ludwig
, Schönig, Stefan and Pernul, Günther
(2020)
27. Supporting Process Mining with Recovered Residual Data.
In: Grabis, Jānis and Bork, Dominik, (eds.)
The Practice of Enterprise Modeling.
Lecture Notes in Business Information Processing (27).
Springer International Publishing, Cham, pp. 389-404.
ISBN 978-3-030-63479-7.
Date of publication of this fulltext: 03 Sep 2020 09:57
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| Item type | Book section | ||||
| ISBN | 978-3-030-63479-7 | ||||
| Title of Book: | The Practice of Enterprise Modeling | ||||
|---|---|---|---|---|---|
| Publisher: | Springer International Publishing | ||||
| Place of Publication: | Cham | ||||
| Other Series: | Lecture Notes in Business Information Processing | ||||
| Number of Issue or Book Chapter: | 27 | ||||
| Page Range: | pp. 389-404 | ||||
| Date | 18 November 2020 | ||||
| Institutions | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul) Informatics and Data Science > Department Information Systems > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul) | ||||
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| Keywords | Process Mining; Business Process Discovery; Digital Forensics; Digital Trace Mining | ||||
| Dewey Decimal Classification | 000 Computer science, information & general works > 000 Generalities, Science | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 43677 |
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