Process Querying Methods
This book presents a framework for developing as well as a comprehensive collection of state-of-the-art process querying methods. Process querying combines concepts from Big Data and Process Modeling and Analysis with Business Process Intelligence and Process Analytics to study techniques for retrieving and manipulating models of real-world and envisioned processes to organize and extract process-related information for subsequent systematic use.The book comprises sixteen contributed chapters distributed over four parts and two auxiliary chapters. The auxiliary chapters by the editor provide an introduction to the area of process querying and…
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Produktdetails
- ISBN: 978-3-030-92874-2
- EAN: 9783030928742
- Produktnummer: 38798968
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 556 S.
- Masse: H24.1 cm x B16.0 cm x D3.5 cm 992 g
- Auflage: 1st ed. 2022
- Abbildungen: HC runder Rücken kaschiert
- Gewicht: 992
Über den Autor
Artem Polyvyanyy is a senior lecturer at the School of Computing and Information Systems, Faculty of Engineering and Information Technology, at the University of Melbourne, Australia. His research and teaching interests include Computing Systems, Information Systems, Distributed Systems, Process Modeling and Analysis, Process Mining, Process Querying, and Algorithms. Artem's recent research focuses on Process Mining and Process Querying. Artem is a member of the Steering Committee of the IEEE Task Force on Process Mining.
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