A framework for steady-state detection in process mining

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DOI:	https://doi.org/10.1016/j.is.2026.102740
URL:	https://www.sciencedirect.com/science/article/pii/...
Additional URL:	https://www.researchgate.net/publication/404013855...
URN:	urn:nbn:de:bsz:180-madoc-721841
Document Type:	Article
Year of publication:	2026
The title of a journal, publication series:	Information Systems : IS
Volume:	140
Issue number:	Article 102740
Page range:	1-20
Place of publication:	Amsterdam
Publishing house:	Elsevier
ISSN:	0094-453X , 0306-4379
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-) School of Business Informatics and Mathematics > Data Science (Paulheim 2018-)
Pre-existing license:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject:	004 Computer science, internet
Keywords (English):	process mining , business process , steady-state detection

	Dieser Eintrag ist Teil der Universitätsbibliographie.
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BASE: Kraus, Alexander ; Amiri Elyasi, Keyvan ; Rebmann, Adrian ; Hadian, Sherri ; Aa, Han van der

Google Scholar: Kraus, Alexander ; Amiri Elyasi, Keyvan ; Rebmann, Adrian ; Hadian, Sherri ; Aa, Han van der

ORCID: Kraus, Alexander ; Amiri Elyasi, Keyvan ; Rebmann, Adrian ; Hadian, Sherri ; Aa, Han van der

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