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Process Mining Workshops: ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers
This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021.
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 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops:
2nd International Workshop on Event Data and Behavioral Analytics (EDBA)
2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)
2nd International Workshop on Streaming Analytics for Process Mining (SA4PM)
6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)
4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)
2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA)
One survey paper on the results of the XES 2.0 Workshop is included.
This book is included in DOAB.
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- 53 - epub (CC BY) at Unglue.it.
- 43 - pdf (CC BY) at Unglue.it.
Keywords
- Business & management
- Business mathematics & systems
- Business Process Management
- Computing & information technology
- Conformance Checking
- Data mining
- Data science
- Databases
- Decision support systems
- Economics, finance, business & management
- Event Data
- Information systems
- Information technology: general issues
- Machine learning
- open access
- Petri nets
- 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::UN Databases::UNF Data mining
Links
DOI: 10.1007/978-3-030-98581-3web: https://link.springer.com/book/10.1007/978-3-030-98581-3