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Business Process Management Forum

Overview of attention for book
Cover of 'Business Process Management Forum'

Table of Contents

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    Book Overview
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    Chapter 1 Why Do Banks Find Business Process Compliance so Challenging? An Australian Perspective
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    Chapter 2 On the Use of the Conformance and Compliance Keywords During Verification of Business Processes
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    Chapter 3 A Data-Centric Approach to Design Resilient-Aware Process Models in BPMN
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    Chapter 4 The Early Process Catches the Weak Event: Process Latency and Strategies for Its Reduction
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    Chapter 5 Bridging the Gap Between Process Mining Methodologies and Process Mining Practices
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    Chapter 6 Systems Mining with  Heraklit : The Next Step
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    Chapter 7 Conformance Checking over Stochastically Known Logs
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    Chapter 8 Alpha Precision: Estimating the Significant System Behavior in a Model
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    Chapter 9 Learning to Act: A Reinforcement Learning Approach to Recommend the Best Next Activities
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    Chapter 10 Change Detection in Dynamic Event Attributes
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    Chapter 11 Dealing with Unexpected Runtime Outcomes Within Process Models
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    Chapter 12 Detecting Context-Aware Deviations in Process Executions
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    Chapter 13 When to Intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints
Attention for Chapter 2: On the Use of the Conformance and Compliance Keywords During Verification of Business Processes
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3 Mendeley
Summary
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Chapter title
On the Use of the Conformance and Compliance Keywords During Verification of Business Processes
Chapter number 2
Book title
Business Process Management Forum
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-16171-1_2
Book ISBNs
978-3-03-116170-4, 978-3-03-116171-1
Authors

Groefsema, Heerko, Beest, Nick R. T. P. van, Governatori, Guido

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%

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