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Process Mining Workshops -

Process Mining Workshops

ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers
Buch | Softcover
XI, 592 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-27814-3 (ISBN)
CHF 59,90 inkl. MwSt

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)


Erscheinungsdatum
Reihe/Serie Lecture Notes in Business Information Processing
Zusatzinfo XI, 592 p. 282 illus., 140 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 914 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Schlagworte business process management • conformance checking • Data Science • Deep learning • Event data • Health Informatics • knowledge graphs • machine learning • open access • Predictive Process Monitoring • process analytics • process discovery • Process Mining • Process Querying • Streaming analytics
ISBN-10 3-031-27814-3 / 3031278143
ISBN-13 978-3-031-27814-3 / 9783031278143
Zustand Neuware
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