Data-Driven Process Discovery and Analysis
5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers
Editors: Ceravolo, Paolo, Rinderle-Ma, Stefanie (Eds.)
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- About this book
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This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015.
The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies.
- Table of contents (8 chapters)
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A Framework for Safety-Critical Process Management in Engineering Projects
Pages 1-27
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Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education
Pages 28-53
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Detecting Changes in Process Behavior Using Comparative Case Clustering
Pages 54-75
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Using Domain Knowledge to Enhance Process Mining Results
Pages 76-104
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Aligning Process Model Terminology with Hypernym Relations
Pages 105-123
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Table of contents (8 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Data-Driven Process Discovery and Analysis
- Book Subtitle
- 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers
- Editors
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- Paolo Ceravolo
- Stefanie Rinderle-Ma
- Series Title
- Lecture Notes in Business Information Processing
- Series Volume
- 244
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- IFIP International Federation for Information Processing
- eBook ISBN
- 978-3-319-53435-0
- DOI
- 10.1007/978-3-319-53435-0
- Softcover ISBN
- 978-3-319-53434-3
- Series ISSN
- 1865-1348
- Edition Number
- 1
- Number of Pages
- IX, 185
- Number of Illustrations
- 78 b/w illustrations
- Topics