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PC4PM : A Tool for Privacy/Confidentiality Preservation in Process Mining

Rafiei, Majid (Corresponding author)^RWTH* ; Schnitzler, Alexander (Corresponding author)^RWTH* ; van der Aalst, Wil M. P. (Corresponding author)^RWTH*

In
BPM-D 2021: BPM 2021 Best Dissertation Award, Doctoral Consortium, and Demonstration & resources track : proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & resources track at BPM 2021, co-located with 19th International Conference on Business Process Management (BPM 2021) : Rome, Italy, September 6th to 10th, 2021 / edited by Wil M.P. van der Aalst, Remco Dijkman, Akhil Kumar, Francesco Leotta, Fabrizio Maria Maggi, Jan Mendling, Brian Pentland, Arik Senderovich, Marcos Sepúlveda, Estefanía Serral Asensio, Mathias Weske, Seiten/Artikel-Nr: 106-110

2021

Konferenz/Event:19. International Conference on Business Process Management , Rome , Italy , BPM 2021 , 2021-09-06 - 2021-09-10

ImpressumAachen, Germany : RWTH Aachen

Umfang106-110

ReiheCEUR workshop proceedings ; 2973

Hybride Konferenz

Online
DOI: 10.18154/RWTH-2021-10833
URL: https://publications.rwth-aachen.de/record/835802/files/835802.pdf
URL: http://ceur-ws.org/Vol-2973/

Einrichtungen

1. Lehrstuhl für Process and Data Science (122510)
2. Fachgruppe Informatik (120000)

OpenAccess:
PDF
External link:
Fulltext

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85117225566

Interne Identnummern
RWTH-2021-10833
Datensatz-ID: 835802

Beteiligte Länder
Germany