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Workflow mining: A survey of issues and approaches.

van der Aalst, W. M. P.; van Dongena, B. F.; Herbst, J.; Marustera, L.; Schimm, G.; Weijters, A. J. M. M.

In: Data & Knowledge Engineering, Volume 47, Issue 2 , November 2003, pages 237-267. Elsevier, November 2003.

Abstract: Many of today's information systems are driven by explicit process models. Workflow management systems, but also ERP, CRM, SCM, and B2B, are configured on the basis of a workflow model specifying the order in which tasks need to be executed. Creating a workflow design is a complicated time-consuming process and typically there are discrepancies between the actual workflow processes and the processes as perceived by the management. To support the design of workflows, we propose the use of workflow mining. Starting point for workflow mining is a so-called "workflow log" containing information about the workflow process as it is actually being executed. In this paper, we introduce the concept of workflow mining and present a common format for workflow logs. Then we discuss the most challenging problems and present some of the workflow mining approaches available today.

Keywords: Workflow mining; Workflow management; Data mining; Petri nets.


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