Data-Driven Process Discovery and Analysis
4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers
Editors: Ceravolo, Paolo, Russo, Barbara, Accorsi, Rafael (Eds.)
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- About this book
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This book constitutes the thoroughly refereed proceedings of the Fourth International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan, Italy, in November 2014.
The five revised full papers were carefully selected from 21 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. During this edition, the presentations and discussions frequently focused on the implementation of process mining algorithms in contexts where the analytical process is fed by data streams. The selected papers underline the most relevant challenges identified and propose novel solutions and approaches for their solution.
- Table of contents (5 chapters)
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Discovery of Frequent Episodes in Event Logs
Pages 1-31
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Finding Suitable Activity Clusters for Decomposed Process Discovery
Pages 32-57
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History-Based Construction of Alignments for Conformance Checking: Formalization and Implementation
Pages 58-78
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Dynamic Constructs Competition Miner - Occurrence- vs. Time-Based Ageing
Pages 79-106
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Trustworthy Cloud Certification: A Model-Based Approach
Pages 107-122
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Table of contents (5 chapters)
- Download Preface 1 PDF (47.1 KB)
- Download Sample pages 2 PDF (3.8 MB)
- Download Table of contents PDF (39.6 KB)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Data-Driven Process Discovery and Analysis
- Book Subtitle
- 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers
- Editors
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- Paolo Ceravolo
- Barbara Russo
- Rafael Accorsi
- Series Title
- Lecture Notes in Business Information Processing
- Series Volume
- 237
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- IFIP International Federation for Information Processing
- eBook ISBN
- 978-3-319-27243-6
- DOI
- 10.1007/978-3-319-27243-6
- Softcover ISBN
- 978-3-319-27242-9
- Series ISSN
- 1865-1348
- Edition Number
- 1
- Number of Pages
- IX, 123
- Number of Illustrations
- 56 illustrations in colour
- Topics
