Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 207)
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Table of contents (18 chapters)
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Front Matter
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Part I: State of the Art: BPM, Data Mining and Process Mining
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Front Matter
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Part II: Obstacles to Process Mining in Practice
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Front Matter
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Part III: Process Mining as an Emerging Technology
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Front Matter
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Keywords
About this book
After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic "batch process mining," and second to more recent "online process mining."
The book encompasses a revised version of the author's PhD thesis, which won the "Best Process Mining Dissertation Award" in 2014, awarded by the IEEE Task Force on Process Mining.Authors and Affiliations
Bibliographic Information
Book Title: Process Mining Techniques in Business Environments
Book Subtitle: Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining
Authors: Andrea Burattin
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-319-17482-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-17481-5Published: 15 May 2015
eBook ISBN: 978-3-319-17482-2Published: 12 May 2015
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XII, 220
Number of Illustrations: 101 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Business Process Management, Computer Appl. in Administrative Data Processing, Pattern Recognition