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Business Process Management
other
Editor(s):
Marcello La Rosa
,
Peter Loos
,
Oscar Pastor
Publication date
(Print):
2016
Publisher:
Springer International Publishing
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Malaysian Management Journal
Author and book information
Book
ISBN (Print):
978-3-319-45347-7
ISBN (Electronic):
978-3-319-45348-4
Publication date (Print):
2016
DOI:
10.1007/978-3-319-45348-4
SO-VID:
70ff2211-4e6c-46dc-931e-c2bcbb1619f6
License:
http://www.springer.com/tdm
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Book chapters
pp. 3
Rethinking BPM in a Cognitive World: Transforming How We Learn and Perform Business Processes
pp. 20
Ontological Considerations About the Representation of Events and Endurants in Business Models
pp. 57
A Stability Assessment Framework for Process Discovery Techniques
pp. 73
Measuring the Quality of Models with Respect to the Underlying System: An Empirical Study
pp. 90
Handling Duplicated Tasks in Process Discovery by Refining Event Labels
pp. 108
Discovering Duplicate Tasks in Transition Systems for the Simplification of Process Models
pp. 125
From Low-Level Events to Activities - A Pattern-Based Approach
pp. 142
Discovering and Exploring State-Based Models for Multi-perspective Processes
pp. 158
Semantical Vacuity Detection in Declarative Process Mining
pp. 179
In Log and Model We Trust? A Generalized Conformance Checking Framework
pp. 197
A Recursive Paradigm for Aligning Observed Behavior of Large Structured Process Models
pp. 217
Semantics and Analysis of DMN Decision Tables
pp. 234
Dynamic Skipping and Blocking and Dead Path Elimination for Cyclic Workflows
pp. 252
The Complexity of Deadline Analysis for Workflow Graphs with Multiple Resources
pp. 271
Dealing with Behavioral Ambiguity in Textual Process Descriptions
pp. 289
The Effect of Modularity Representation and Presentation Medium on the Understandability of Business Process Models in BPMN
pp. 308
Towards Quality-Aware Translations of Activity-Centric Processes to Guard Stage Milestone
pp. 348
Classification and Formalization of Instance-Spanning Constraints in Process-Driven Applications
pp. 365
Value at Risk Within Business Processes: An Automated IT Risk Governance Approach
pp. 383
PRISM – A Predictive Risk Monitoring Approach for Business Processes
pp. 401
Predictive Business Process Monitoring with Structured and Unstructured Data
pp. 418
P $$^3$$ -Folder: Optimal Model Simplification for Improving Accuracy in Process Performance Prediction
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