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Process Mining Workshops. ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers.

Authors :
Montali, Marco
Senderovich, Arik
Weidlich, Matthias
Montali, Marco

Abstract

Summary: 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)

Details

Language :
English
ISBN :
978-3-031-27815-0
9783031278150
9783031278143
ISBNs :
9783031278150, 9783031278150, and 9783031278143
Database :
Jio Institute Digital Library Catalog
Journal :
Process Mining Workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers
Notes :
003545, Health Management, Open Access star Unrestricted online access, Creative Commons by/4.0/ cc http://creativecommons.org/licenses/by/4.0/, English
Publication Type :
Book
Accession number :
jlc.oai.folio.org.fs00001072.91ed5964.076f.467b.9bd0.0bd271b1d1e7
Document Type :
Book; Electronic document