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Process Mining Workshops
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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)
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Keywords
- artificial intelligence
- Business & management
- Business mathematics & systems
- Business Process Management
- Computer science
- Computing & information technology
- Conformance Checking
- Data mining
- Data science
- Databases
- deep learning
- Economics, finance, business & management
- Event Data
- Health & safety aspects of IT
- Health Informatics
- Information technology: general issues
- knowledge graphs
- Machine learning
- Predictive Process Monitoring
- Process Analytics
- Process Discovery
- process mining
- Process Querying
- Streaming Analytics
- thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems
- thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
- thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBH Digital and information technologies: Health and safety aspects
- thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
Links
DOI: 10.1007/978-3-031-27815-0Editions