Process Mining Workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers / [electronic resource] :
edited by Marco Montali, Arik Senderovich, Matthias Weidlich.
- 1st ed. 2023.
- XI, 592 p. 282 illus., 140 illus. in color. online resource.
- Lecture Notes in Business Information Processing, 468 1865-1356 ; .
- Lecture Notes in Business Information Processing, 468 .
Open Access
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).
9783031278150
10.1007/978-3-031-27815-0 doi
Data mining. Information technology--Management. Machine learning. Medical informatics. Data Mining and Knowledge Discovery. Business Process Management. Machine Learning. Computer Application in Administrative Data Processing. Health Informatics.