Title: Web process and workflow path mining using the Multimethod approach

Authors: Jorge Cardoso, Mitja Lenic

Addresses: Department of Mathematics and Engineering, University of Madeira, 9050 390 Funchal, Portugal. ' System Software Laboratory, University of Maribor, FERI, Smetanova 17, 2000 Maribor, Slovenia

Abstract: Workflow Management Systems (WfMS) provide a fundamental technological infrastructure to define and manage business processes efficiently. WfMS logs contain valuable data that can be used to discover and extract knowledge about the execution of workflows and processes. One piece of important and useful information that can be discovered is related to the prediction of the path that will be followed during the execution of a workflow. We call this type of discovery, path mining. In this paper, we present and describe how path mining can be achieved using different data mining techniques including the Multimethod approach.

Keywords: web processes; workflow management systems; path mining; Multimethod approach; quality of service; QOS; business process management systems; data mining; business processes; workflows.

DOI: 10.1504/IJBIDM.2006.009137

International Journal of Business Intelligence and Data Mining, 2006 Vol.1 No.3, pp.304 - 328

Published online: 06 Mar 2006 *

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