A divide-and-conquer approach for modeling arrival times in business process simulation

DOI:	https://doi.org/10.1007/978-3-032-02867-9_20
URL:	https://link.springer.com/chapter/10.1007/978-3-03...
Document Type:	Conference or workshop publication
Year of publication:	2026
Book title:	Business Process Management : 23rd International Conference, BPM 2025, Seville, Spain, August 31 - September 5, 2025, proceedings
The title of a journal, publication series:	Lecture Notes in Computer Science
Volume:	16044
Page range:	325-342
Conference title:	23rd International Conference on Business Process Management (BPM 2025)
Location of the conference venue:	Sevilla, Spain
Date of the conference:	31.08.-05.09.2025
Publisher:	Senderovich, Arik ; Cabanillas, Cristina ; Vanderfeesten, Irene ; Reijers, Hajo A.
Place of publication:	Berlin [u.a.]
Publishing house:	Springer
ISBN:	978-3-032-02866-2 , 978-3-032-02868-6 , 978-3-032-02867-9
ISSN:	0302-9743 , 1611-3349
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject:	004 Computer science, internet
Keywords (English):	business process simulation , time series segmentation , kernel density estimation , process mining

Dieser Eintrag ist Teil der Universitätsbibliographie.

BASE: Kirchdorfer, Lukas ; Özdemir, Konrad ; Kusenic, Stjepan ; Aa, Han van der ; Stuckenschmidt, Heiner

Google Scholar: Kirchdorfer, Lukas ; Özdemir, Konrad ; Kusenic, Stjepan ; Aa, Han van der ; Stuckenschmidt, Heiner

ORCID: Kirchdorfer, Lukas ; Özdemir, Konrad ; Kusenic, Stjepan ; Aa, Han van der

; Stuckenschmidt, Heiner

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