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)
42,79 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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