Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 237)
Included in the following conference series:
Conference proceedings info: SIMPDA 2014.
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Table of contents (5 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 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.
Editors and Affiliations
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: Paolo Ceravolo, Barbara Russo, Rafael Accorsi
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-319-27243-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: IFIP International Federation for Information Processing 2015
Softcover ISBN: 978-3-319-27242-9Published: 12 December 2015
eBook ISBN: 978-3-319-27243-6Published: 11 December 2015
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: IX, 123
Number of Illustrations: 56 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Business Process Management, Information Systems Applications (incl. Internet), Computer Appl. in Administrative Data Processing
Industry Sectors: Aerospace, Biotechnology, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications