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DETECTING DEVIATIONS BETWEEN EVENT LOG AND PROCESS MODEL

机译:检测事件日志和过程模型之间的偏差

摘要

A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.
机译:一种用于检测事件日志与过程模型之间的偏差的方法,包括将过程模型转换为概率过程模型,该概率过程模型包括多个层次结构中的多个节点以及与多个节点相关联的概率分布,多个节点中的叶节点对应于流程模型中的活动;根据对应关系,检测事件日志中包含的至少一个事件序列与概率过程模型之间的差异;响应于差异超过预定阈值,将差异识别为差异;其中,所述对应关系描述所述至少一个事件序列中的一个事件序列中的一个事件与所述概率过程模型中的叶节点之间的对应关系。

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