SAP Signavio Academic Models: A large process model dataset

Sola, Diana ; Warmuth, Christian ; Schäfer, Bernhard ; Badakhshan, Peyman ; Rehse, Jana-Rebecca ; Kampik, Timotheus

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URN: urn:nbn:de:bsz:180-madoc-644841
Document Type: Conference or workshop publication
Year of publication: 2023
Book title: Process Mining Workshops : ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers
The title of a journal, publication series: Lecture Notes in Business Information Processing : LNBIP
Volume: 468
Page range: 453-465
Conference title: ICPM 2022, 4th International Conference on Process Mining, Workshops
Location of the conference venue: Bolzano, Italy
Date of the conference: 23.-28.10.2022
Publisher: Montali, Marco ; Senderovich, Arik ; Weidlich, Matthias
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISSN: 1865-1348 , 1865-1356
Related URLs:
Publication language: English
Institution: Business School > Management Analytics (Juniorprofessur) (Rehse 2020-)
School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Keywords (English): process models , data set , model collection

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