过程挖掘:s -可覆盖工作流网络的算法

Jianchun She, Dongqing Yang
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引用次数: 4

摘要

从事件日志中发现过程模型近年来引起了许多研究人员对过程挖掘领域的兴趣。尽管有兴趣和相关的努力,现有的算法远远不能令人满意。例如,一些研究者已经证明α-算法能够发现所谓的无短环路的swf网络的过程;然而,α-算法被发现存在一些严重的局限性。因此,本文引入了s -可覆盖工作流网络的符号,得出了健全的s -可覆盖工作流网络的特征定理,并提出了一种新的过程挖掘算法,即s算法。在此基础上,本文提出了一种处理隐藏转换发现问题的新方法,即通过对隐藏任务的预处理,允许算法S发现有助于保存更好结构的过程模型。由此得出的定理不仅适用于过程挖掘,也适用于过程建模和过程模型检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Process Mining: Algorithm for S-Coverable Workflow Nets
To discover process models from event logs has recently aroused many researchers’ interest in the area of process mining. Notwithstanding the interest and related efforts, existing algorithms are far from being satisfactory. For example, some researchers have proved that α-algorithm is capable of discovering the processes of the so-called SWF-nets without short loops; however, α-algorithm has been found to contain some severe limitations. This paper is therefore to introduce the notation of S-Coverable workflow nets, to reach theorems about the characteristics of Sound S-Coverable Workflow Nets, and to develop a new process mining algorithm, namely, algorithm S. On such basis, suggested in the paper is a new approach to dealing with the problem of hidden transition discovering, an approach that, by means of the pretreatment of such hidden tasks, allows algorithm S to discover process models that will help preserve better structures. Theorems thus reached are applicable not only to process mining, but also to process modeling and process model checking.
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