摘要： 为解决传统工作流建模方式主观性强、效率低以及成本高等问题，出现一种从工作流日志中自动化推导工作流模型的建模方法，又称工作流挖掘。这种新方法在国际上还处于研究初级阶段，但已引起广泛关注。该文对当前主要研究学者的工作及挖掘算法进行总结，介绍了两种不同类型挖掘算法的具体建模过程，并对其性能进行比较分析，用实例进行解释说明。

关键词: 工作流建模, 工作流挖掘, 工作流日志, WF-net

Abstract: To solve the problems of strong subjectivity, poor efficiency and high cost in traditional workflow modeling, a novel modeling method automatically deriving model from workflow logs is appeared, which is called as workflow mining. At present this method is in primary stage in the world, but it has aroused extensive solicitude. This paper summarizes the scholars’ main studies in workflow mining, introduces the modeling process of two different kinds of mining algorithms in detail, compares and analyzes their performances, and explains the modeling process with an actual example.

Key words: Workflow modeling, Workflow mining, Workflow logs, WF-net