Overview
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 307)
Included in the following conference series:
Conference proceedings info: SIMPDA 2016.
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Table of contents (6 papers)
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Front Matter
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Back Matter
Other volumes
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Data-Driven Process Discovery and Analysis
Keywords
About this book
This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016.
The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions. In this edition, the presentations focused on the adoption of process mining algorithms for continuous monitoring of business process. They underline the most relevant challenges identified and propose novel solutions for their resolution.
Editors and Affiliations
Bibliographic Information
Book Title: Data-Driven Process Discovery and Analysis
Book Subtitle: 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers
Editors: Paolo Ceravolo, Christian Guetl, Stefanie Rinderle-Ma
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-319-74161-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: IFIP International Federation for Information Processing 2018
Softcover ISBN: 978-3-319-74160-4Published: 26 January 2018
eBook ISBN: 978-3-319-74161-1Published: 25 January 2018
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: IX, 97
Number of Illustrations: 46 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Business Process Management, Information Systems Applications (incl. Internet), Computer Appl. in Administrative Data Processing
