TY - BOOK AU - Montali,Marco AU - Senderovich,Arik AU - Weidlich,Matthias ED - SpringerLink (Online service) TI - Process Mining Workshops: ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers T2 - Lecture Notes in Business Information Processing, SN - 9783031278150 AV - QA76.9.D343 U1 - 006.312 23 PY - 2023/// CY - Cham PB - Springer Nature Switzerland, Imprint: Springer KW - Data mining KW - Information technology KW - Management KW - Machine learning KW - Medical informatics KW - Data Mining and Knowledge Discovery KW - Business Process Management KW - Machine Learning KW - Computer Application in Administrative Data Processing KW - Health Informatics N1 - Open Access N2 - This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM) UR - https://doi.org/10.1007/978-3-031-27815-0 ER -