SAP Signavio Academic Models: A large process model dataset

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DOI:	https://doi.org/10.1007/978-3-031-27815-0_33
URL:	https://link.springer.com/chapter/10.1007/978-3-03...
Additional URL:	https://www.researchgate.net/publication/369535409...
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:	https://www.x-mol.net/paper/article/1563... https://icpmconference.org/2022/workshop...
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