Machine learning-based detection of concept drift in business processes

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DOI:	https://doi.org/10.1007/s44311-025-00012-w
URL:	https://link.springer.com/article/10.1007/s44311-0...
URN:	urn:nbn:de:bsz:180-madoc-697630
Document Type:	Article
Year of publication:	2025
The title of a journal, publication series:	Process Science
Volume:	2
Issue number:	Article 5
Page range:	1-26
Place of publication:	Cham
Publishing house:	Springer International Publishing
ISSN:	2948-2178
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Artificial Intelligence Methods (Juniorprofessur) (van der Aa 2020-2023)
Pre-existing license:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject:	004 Computer science, internet 330 Economics
Keywords (English):	process mining , concept drift detection , machine learning , deep learning , computer vision , object detection