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Data-Driven Process Discovery and Analysis

by Aberer, Karl.
Authors: Damiani, Ernesto.%editor. | Dillon, Tharam.%editor. | SpringerLink (Online service) Series: Lecture Notes in Business Information Processing, 1865-1348 ; . 116 Physical details: X, 213 p. 82 illus. online resource. ISBN: 364234044X Subject(s): Computer science. | Data mining. | Management information systems. | Computer Science. | Information Systems Applications (incl. Internet). | Business Information Systems. | Data Mining and Knowledge Discovery.
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E-Book E-Book AUM Main Library 005.7 (Browse Shelf) Not for loan

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.

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.

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