Data-Driven Process Discovery and Analysis

First International Symposium, SIMPDA 2011, Campione D¿Italia, Italy, June 29 ¿ July 1, 2011, Revised Selected Papers
Herausgegeben:Aberer, Karl; Damiani, Ernesto; Dillon, Tharam

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Business Information Processing 116
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-34043-7
• 2012
• Seitenzahl: 224
• Erscheinungstermin: 27. September 2012
• Englisch
• Abmessung: 235mm x 155mm x 13mm
• Gewicht: 347g
• ISBN-13: 9783642340437
• ISBN-10: 3642340431
• Artikelnr.: 36437208

Autorenporträt

Ernesto Damiani is a professor at the Department of Information Technology of the University of Milan. He is the Vice-Chair of the ACM Special Interest Group on Applied Computing (SIGAPP).

Inhaltsangabe

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 forRetrieval 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.