使用规则识别故障及其可能的原因,应用程序进行流程挖掘

Benoit Vuillemin, F. Bertrand
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引用次数: 0

摘要

在工艺采矿领域中,故障分析是一个重要的研究领域。这里的目标是找到故障或相对较大的处理延迟及其可能的原因。本文提出了一种创新的过程挖掘研究范式:预测规则挖掘。通过三步法和两种新算法,将过程中观察到的所有案例分解为规则,对规则信息进行分析,寻找可能的原因。这种方法提供了关于数据的信息,从数据的内部结构到故障的可能原因,而不需要先验知识。
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Identify malfunctions and their possible causes using rules, application to process mining
In the field of process mining, malfunction analysis is a major research domain. The goal here is to find failures or relatively large processing delays and their possible causes. This paper presents an innovative research paradigm for process mining: prediction rule mining. Through a three-step method and two new algorithms, all observed cases of a process are decomposed into rules, whose information is analyzed, and possible causes are searched. This method provides information about the data, from its internal structure to the possible causes of failures, without having a priori knowledge about them.
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