Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 203)
Conference series link(s): SIMPDA: International Symposium on Data-Driven Process Discovery and Analysis
Conference proceedings info: SIMPDA 2013.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (6 papers)
-
Front Matter
-
Back Matter
About this book
This book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Garda, Italy, in August 2013.
The six revised full papers were carefully selected from 18 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. The selected papers cover theoretical issues related to process representation, discovery and analysis or provide practical and operational experiences in process discovery and analysis.
Editors and Affiliations
-
Università degli Studi di Milano, Crema, Italy
Paolo Ceravolo
-
Telematics, University of Freiburg, Freiburg, Germany
Rafael Accorsi
-
University of Fribourg, Fribourg, Switzerland
Philippe Cudre-Mauroux
Bibliographic Information
Book Title: Data-Driven Process Discovery and Analysis
Book Subtitle: Third IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2013, Riva del Garda, Italy, August 30, 2013, Revised Selected Papers
Editors: Paolo Ceravolo, Rafael Accorsi, Philippe Cudre-Mauroux
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-662-46436-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: IFIP International Federation for Information Processing 2015
Softcover ISBN: 978-3-662-46435-9Published: 19 March 2015
eBook ISBN: 978-3-662-46436-6Published: 21 February 2015
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: IX, 135
Number of Illustrations: 56 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Business Process Management, Information Systems Applications (incl. Internet), Computer Appl. in Administrative Data Processing