Workflow mining: A survey of issues and approaches

被引:583
|
作者
van der Aalst, WMP
van Dongen, BF
Herbst, J
Maruster, L
Schimm, G
Weijters, AJMM
机构
[1] Eindhoven Univ Technol, Dept Technol Management, NL-5600 MB Eindhoven, Netherlands
[2] DaimlerChrysler AG, Res & Technol, D-89013 Ulm, Germany
[3] OFFIS, D-26121 Oldenburg, Germany
关键词
workflow mining; workflow management; data mining; Petri nets;
D O I
10.1016/S0169-023X(03)00066-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:237 / 267
页数:31
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