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Process Mining Handbook
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Editor(s):
Wil M. P. van der Aalst
,
Josep Carmona
Publication date
(Print):
2022
Publisher:
Springer International Publishing
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Author and book information
Contributors
Wil M. P. van der Aalst:
(View ORCID Profile)
Josep Carmona:
(View ORCID Profile)
Book
ISBN (Print):
978-3-031-08847-6
ISBN (Electronic):
978-3-031-08848-3
Publication date (Print):
2022
DOI:
10.1007/978-3-031-08848-3
SO-VID:
684a3f69-f6ea-4067-a48d-08b1e57e52a6
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Book chapters
pp. 3
Process Mining: A 360 Degree Overview
pp. 37
Foundations of Process Discovery
pp. 76
Advanced Process Discovery Techniques
pp. 108
Declarative Process Specifications: Reasoning, Discovery, Monitoring
pp. 155
Conformance Checking: Foundations, Milestones and Challenges
pp. 193
Foundations of Process Event Data
pp. 212
A Practitioner’s View on Process Mining Adoption, Event Log Engineering and Data Challenges
pp. 243
Foundations of Process Enhancement
pp. 274
Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs
pp. 320
Predictive Process Monitoring
pp. 349
Streaming Process Mining
pp. 373
Responsible Process Mining
pp. 405
Status and Future of Process Mining: From Process Discovery to Process Execution
pp. 416
Using Process Mining in Healthcare
pp. 445
Process Mining for Financial Auditing
pp. 468
Robotic Process Mining
pp. 495
Scaling Process Mining to Turn Insights into Actions
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