Data-Driven Process Discovery and Analysis
First International Symposium, SIMPDA 2011, Campione D'Italia, Italy, June 29 - July 1, 2011, Revised Selected Papers
1st Edition
Published on 27. September 2012
Book
Paperback/Softback
X, 213 pages
978-3-642-34043-7 (ISBN)
Description
This book constitutes the thoroughly refereed proceedings of the First International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June/July 2011.
The 11 revised full papers were carefully selected from 31 submissions. In addition to the thorough review process, the lively discussions at the event itself also helped the authors to improve their papers and to foster interesting extensions. The selected papers cover a wide range of topics spanning from theoretical issues related to process representation to practical experience 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
82 s/w Abbildungen
X, 213 p. 82 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 13 mm
Weight
347 gr
ISBN-13
978-3-642-34043-7 (9783642340437)
DOI
10.1007/978-3-642-34044-4
Schweitzer Classification
Other editions
Additional editions
Karl Aberer | Ernesto Damiani | Tharam Dillon
Data-Driven Process Discovery and Analysis
First International Symposium, SIMPDA 2011, Campione D'Italia, Italy, June 29 - July 1, 2011, Revised Selected Papers
E-Book
11/2013
Springer
€53.49
Available for download
Content
Towards Distributed Collaborative Workflow Management for Mobile Devices.- Monitoring Business Processes in the Networked Enterprise.- Towards Improving the Representational Bias of Process Mining.- MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes.- BowlognaBench-Benchmarking RDF Analytics.- Towards Evaluating an Ontology-Based Data Matching Strategy for
Retrieval and Recommendation of Security Annotations for Business Process Models.- FP-Growth in Discovery of Customer Patterns.- Case Study in Process Mining in a Multinational Enterprise.- Discovering Workflow Changes with Time-Based Trace Clustering.- Striving for Object-Aware Process Support: How Existing Approaches Fit Together.- Scrum Conceptualization Using K-CRIO Ontology.