Process Mining Handbook

by Wil M. P. van der Aalst (Editor), Josep Carmona (Editor)

Overview

This is an open access 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.

Product Details

ISBN-13:	9783031088476
Publisher:	Springer International Publishing
Publication date:	06/17/2022
Series:	Lecture Notes in Business Information Processing , #448
Edition description:	1st ed. 2022
Pages:	503
Product dimensions:	6.10(w) x 9.25(h) x (d)

About the Author

Wil van der Aalst is a full professor at the Department of Mathematics & Computer Science of the Technische Universiteit Eindhoven (TU/e), The Netherlands, where he chairs the Architecture of Information Systems (AIS) group and serves as the scientific director of the Data Science Center Eindhoven. He also has a part-time appointment in the BPM group of Queensland University of Technology (QUT), Australia. His research and teaching interests include information systems, business process management, process modeling, Petri nets, process mining, and simulation.

Wil has published more than 180 journal papers, 19 books, 425 refereed conference or workshop publications, and 60 book chapters. Many of his papers are highly cited (he has a H-index of more than 123 according to Google Scholar, the highest among all European computer scientists) and his ideas on process support have influenced researchers, software developers, and standardization committees worldwide.

Table of Contents

Introduction.- Process Mining: A 360 Degree Overview.- Process Discovery.- Foundations of Process Discovery.- Advanced Process Discovery Techniques.- Declarative Process Specifications: Reasoning, Discovery, Monitoring.- Conformance Checking.- Conformance Checking: Foundations, Milestones and Challenges.- Data Preprocessing.- Foundations of Process Event Data.- A Practitioner’s View on Process Mining Adoption, Event Log Engineering and Data Challenges.- Process Enhancement and Monitoring.- Foundations of Process Enhancement.- Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs.- Predictive Process Monitoring.- Assorted Process Mining Topics.- Streaming Process Mining.- Responsible Process Mining.- Industrial Perspective and Applications.- Status and Future of Process Mining: from Process Discovery to Process Execution.- Using Process Mining in Healthcare.- Process Mining for Financial Auditing.- Robotic Process Mining.- Closing.- Scaling Process Mining toTurn Insights Into Actions.