Editors:
- This book is open access, which means that you have free and unlimited access
- Written by one of the most influential and most-cited computer scientists and the best-known BPM researcher
- Self-contained and comprehensive overview for a broad audience in academia and industry
- up-to-date information on tools and the exploitation of modern IT infrastructures
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 448)
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Table of contents (17 chapters)
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Front Matter
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Introduction
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Front Matter
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Conformance Checking
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Front Matter
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Data Preprocessing
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Front Matter
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Process Enhancement and Monitoring
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Front Matter
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Assorted Process Mining Topics
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Front Matter
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Industrial Perspective and Applications
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Front Matter
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About this book
This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022.
This volume contains 17 chapters organized into the following topical sections: Introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing.
Editors and Affiliations
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RWTH Aachen, Aachen, Germany
Wil M. P. van der Aalst
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Universitat Politècnica de Catalunya, Barcelona, Spain
Josep Carmona
Bibliographic Information
Book Title: Process Mining Handbook
Editors: Wil M. P. van der Aalst, Josep Carmona
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-031-08848-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
Softcover ISBN: 978-3-031-08847-6Published: 17 June 2022
eBook ISBN: 978-3-031-08848-3Published: 27 June 2022
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: X, 503
Number of Illustrations: 79 b/w illustrations, 92 illustrations in colour
Topics: Business Process Management, Computer Applications, Data Mining and Knowledge Discovery