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Process Mining Workshops : ICPM 2024 International Workshops, Lyngby, Denmark, October 14–18, 2024, Revised Selected Papers / edited by Andrea Delgado, Tijs Slaats.
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
View onlineSpringer Nature - Springer Nature Link Journals and eBooks - Fully Open Access Available online
View online- Format:
- Book
- Series:
- Lecture Notes in Business Information Processing, 1865-1356 ; 533
- Language:
- English
- Subjects (All):
- Data mining.
- Information technology--Management.
- Information technology.
- Machine learning.
- Medical informatics.
- Data Mining and Knowledge Discovery.
- Business Process Management.
- Machine Learning.
- Computer Application in Administrative Data Processing.
- Health Informatics.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Business Process Management.
- Machine Learning.
- Computer Application in Administrative Data Processing.
- Health Informatics.
- Physical Description:
- 1 online resource (XVI, 781 p. 204 illus., 164 illus. in color.)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This book constitutes the revised selected papers of several workshops which were held in conjunction with the 6th International Conference on Process Mining, ICPM 2024, held in Lyngby, Denmark, during October 2024. The 56 revised full papers presented in this book were carefully reviewed and selected from 126 submissions. The papers presented in this volume stem from the following workshops: 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI); 3rd International Workshop on Education Meets Process Mining (EduPM); 3rd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS); 5th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM); 5th International Workshop on Event Data and Behavioral Analytics (EdbA); 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H); 1st International Workshop on Empirical Research in Process Mining (ERPM); 1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM); 4th International Workshop on Stream Management & Analytics for Process Mining (SMA4PM); 1st International Workshop on Process Mining for Sustainability (PM4S).
- ISBN:
- 3-031-82225-0
- OCLC:
- 1524419954
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