Data-Driven Process Discovery and Analysis
Subtitle: First International Symposium, SIMPDA 2011, Campione d’Italia, Italy, June 29 – July 1, 2011, Revised Selected Papers
By: edited by Karl Aberer, Ernesto Damiani, Tharam Dillon
Contributors: Damiani, Ernesto; Dillon, Tharam S., 1943-; SpringerLink (Online service)
Series: Lecture Notes in Business Information Processing -- 116
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2012
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 213
ISBN-13: 9783642340444
Subjects: Information Systems Applications (incl. Internet); Computer science; Data Mining and Knowledge Discovery; Data mining; Management information systems; Business Information Systems
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 theoretical issues related to process representation to practical experience in process discovery and analysis.
Table of contents: title: Towards Distributed Collaborative Workflow Management for Mobile Devices; title: Monitoring Business Processes in the Networked Enterprise; title: Towards Improving the Representational Bias of Process Mining; title: MailOfMine – Analyzing Mail Messages for Mining Artful Collaborative Processes; title: BowlognaBench—Benchmarking RDF Analytics; title: Towards Evaluating an Ontology-Based Data Matching Strategy for Retrieval and Recommendation of Security Annotations for Business Process Models; title: FP-Growth in Discovery of Customer Patterns; title: Case Study in Process Mining in a Multinational Enterprise; title: Discovering Workflow Changes with Time-Based Trace Clustering; title: Striving for Object-Aware Process Support: How Existing Approaches Fit Together; title: Scrum Conceptualization Using K-CRIO Ontology.