Process mining handbook / Wil M. P. van der Aalst, Josep Carmona (eds.).
Aalst, Wil van der, editor.; Carmona, Josep, editor.
2022
T57.67
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Title Process mining handbook / Wil M. P. van der Aalst, Josep Carmona (eds.).
ISBN 9783031088483 (electronic bk.)
3031088484 (electronic bk.)
9783031088476
DOI https://doi.org/10.1007/978-3-031-08848-3
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (x, 503 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-08848-3 doi
Call Number T57.67
Dewey Decimal Classification 006.3/12
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.
Bibliography, etc. Note Includes bibliographical references and author index.
Access Note Open access
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 30, 2022).
Added Author Aalst, Wil van der, editor.
Carmona, Josep, editor.
Series Lecture notes in business information processing ; 448. 1865-1356
Available in Other Form Print version: 9783031088476
Print version: 9783031088490
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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.

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