Overview
- Post conference proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 162)
Included in the following conference series:
Conference proceedings info: SIMPDA 2012.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June 2012.
The six revised full papers were carefully selected from 17 submissions. To improve the quality of the contributions the symposium fostered the discussion during the presentation, giving authors the opportunity to improve their work extending the presented results. The selected papers cover topics spanning from theoretical issues related to process representation, discovery and analysis to practical and operational experiences in process discovery and analysis.
Similar content being viewed by others
Keywords
Table of contents (6 papers)
Other volumes
-
Data-Driven Process Discovery and Analysis
Editors and Affiliations
Bibliographic Information
Book Title: Data-Driven Process Discovery and Analysis
Book Subtitle: Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d'Italia, Italy, June 18-20, 2012, Revised Selected Papers
Editors: Philippe Cudre-Mauroux, Paolo Ceravolo, Dragan Gašević
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-642-40919-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: IFIP International Federation for Information Processing 2013
Softcover ISBN: 978-3-642-40918-9Published: 02 September 2013
eBook ISBN: 978-3-642-40919-6Published: 12 September 2013
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: X, 113
Number of Illustrations: 41 b/w illustrations
Topics: Information Systems Applications (incl. Internet), IT in Business, Data Mining and Knowledge Discovery