Data-Driven Process Discovery and Analysis
Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d'Italia, Italy, June 18-20, 2012, Revised Selected Papers
Published on 2. September 2013
Book
Paperback/Softback
X, 113 pages
978-3-642-40918-9 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
41 s/w Abbildungen
X, 113 p. 41 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
201 gr
ISBN-13
978-3-642-40918-9 (9783642409189)
DOI
10.1007/978-3-642-40919-6
Schweitzer Classification
Other editions
Additional editions
Philippe Cudré-Mauroux | Paolo Ceravolo | Dragan Gasevic
Data-Driven Process Discovery and Analysis
Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d'Italia, Italy, June 18-20, 2012, Revised Selected Papers
E-Book
09/2013
Springer
€53.49
Available for download
Content
A Lightweight RDF Data Model for Business Process Analysis.- Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach.- Improving Business Process Models Using Observed Behavior.- Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital.- Towards Automatic Capturing of Semi-structured Process Provenance.- Managing Structural and Textual Quality of Business Process Models.