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Process Mining Workshops
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This book constitutes the revised accepted 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).
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Keywords
- artificial intelligence
- Business intelligence
- Business Process Management
- Computers and Education
- Conformance Checking
- Decision Supprt Systems
- empirical research
- Enterprise Modeling
- healthcare systems
- Information systems
- Machine Learnig
- thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems
- thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
- thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXJ Computer applications in the social and behavioural sciences
- thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXT Computer applications in industry and technology
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
Links
DOI: 10.1007/978-3-031-82225-4Editions