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Process Mining Handbook / edited by Wil M. P. van der Aalst, Josep Carmona.

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Format:
Book
Author/Creator:
Aalst, Wil van der.
Contributor:
Carmona, Josep.
Series:
Lecture Notes in Business Information Processing, 1865-1356 ; 448
Language:
English
Subjects (All):
Information technology--Management.
Information technology.
Application software.
Data mining.
Business Process Management.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Computer Application in Administrative Data Processing.
Local Subjects:
Business Process Management.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Computer Application in Administrative Data Processing.
Physical Description:
1 online resource (503 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham Springer Nature 2022
Cham : Springer International Publishing : Imprint: Springer, 2022.
Language Note:
English
Summary:
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. The 17 chapters presented in this volume were organized in 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.
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 to Turn Insights Into Actions.
ISBN:
3-031-08848-4
OCLC:
1333924562

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