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Computer Science - Database Management & Information Retrieval | Data-Driven Process Discovery and Analysis - First International Symposium, SIMPDA 2011, Campione

Data-Driven Process Discovery and Analysis

First International Symposium, SIMPDA 2011, Campione D’Italia, Italy, June 29 – July 1, 2011, Revised Selected Papers

Aberer, Karl, Damiani, Ernesto, Dillon, Tharam (Eds.)

2012, X, 213 p. 82 illus.

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  • Fast track proceedings
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.

Content Level » Research

Keywords » BPM - business intelligence - business process management - data mining - data warehousing - process analysis - process mining - workflow management

Related subjects » Business Information Systems - Database Management & Information Retrieval

Table of contents 

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.

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