Practical Aspect of Privacy-Preserving Data Publishing in Process Mining
Rafiei, Majid; van der Aalst, Wil M. P.
Aachen, Germany : RWTH Aachen (2020)
Buchbeitrag, Beitrag zu einem Tagungsband
In: Proceedings of the best dissertation award, doctoral consortium, and demonstration & resources track at BPM 2020 : co-located with the 18th International Conference on Business Process Management (BPM 2020) Sevilla, Spain, September 13-18, 2020 / edited by Wil M.P. van der Aalst, Jan vom Brocke, Marco Comuzzi, Claudio Di Ciccio, Félix García, Akhil Kumar, Jan Mendling, Brian Pentland, Luise Pufahl, Manfred Reichert, Mathias Weske
Seite(n)/Artikel-Nr.: 92-96
Einrichtungen
- Fachgruppe Informatik [120000]
- Lehrstuhl für Informatik 9 (Process and Data Science) [122510]
Identifikationsnummern
- DOI: 10.18154/RWTH-2020-11373
- RWTH PUBLICATIONS: RWTH-2020-11373
Quellen
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Verwandte Publikationen
- Teil von:
[RWTH-2020-11521] Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2020 : co-located with the 18th International Conference on Business Process Management (BPM 2020) Sevilla, Spain, September 13-18, 2020 - Preprint:
[RWTH-2020-11541] Practical Aspect of Privacy-Preserving Data Publishing in Process Mining - [RWTH-2020-11374] Privacy-Preserving Data Publishing in Process Mining