TY  - BOOK
AU  - Aberer,Karl
AU  - Damiani,Ernesto
AU  - Dillon,Tharam
ED  - SpringerLink (Online service)
TI  - Data-Driven Process Discovery and Analysis: First International Symposium, SIMPDA 2011, Campione d’Italia, Italy, June 29 – July 1, 2011, Revised Selected Papers 
T2  - Lecture Notes in Business Information Processing,
SN  - 9783642340444
AV  - QA76.76.A65 
U1  - 005.7 23
PY  - 2012///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Computer science
KW  - Data mining
KW  - Management information systems
KW  - Computer Science
KW  - Information Systems Applications (incl. Internet)
KW  - Business Information Systems
KW  - Data Mining and Knowledge Discovery
N1  - 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
N2  - 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 theoretical issues related to process representation to practical experience in process discovery and analysis
UR  - http://dx.doi.org/10.1007/978-3-642-34044-4
ER  -