Mining Workflow Patterns through Event-Data Analysis

Walid Gaaloul, S. Alaoui, Karim Baïna, C. Godart
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引用次数: 30

Abstract

It is obvious to notice that in collaborative applications, considerable processes are either implicit, or integrate existing processes. The discovery, and the explanation of these processes are a hot research topic. The work described in this paper is a contribution to these problems. Generally, workflow mining proposes techniques to acquire a workflow model from a workflow log. In this paper, we present a new workflow mining technique to discover workflow patterns. This technique combines complementarily an algorithmic technique and a statistical analysis technique. This combination can deal with some ambiguities that the single use of the statistical analysis technique cannot resolve.
通过事件数据分析挖掘工作流模式
很明显,在协作应用程序中,相当多的过程要么是隐含的,要么是集成了现有的过程。这些过程的发现和解释是一个热门的研究课题。本文所描述的工作是对这些问题的一个贡献。一般来说,工作流挖掘提出了从工作流日志中获取工作流模型的技术。本文提出了一种新的工作流挖掘技术来发现工作流模式。这种技术互补地结合了算法技术和统计分析技术。这种组合可以处理一些单一使用统计分析技术无法解决的模糊性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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