数据驱动的业务流程相似性

Mohammad Javad Amiri, Mahnaz Koupaee
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引用次数: 14

摘要

尽管基于活动标签、结构和行为因素度量业务流程的相似性可能是有效的,但定义不精确和不完整的标签以及为类似活动定义多个标签会给确定类似流程带来挑战。最近在业务流程管理中考虑数据以及在业务流程标准中支持数据建模的尝试,导致了具有数据访问的多个业务模型的创建。本文提出了一种考虑数据的业务流程相似性度量方法,该方法首先根据流程中活动的结构和行为以及它们的数据访问来度量活动的相似性。然后根据活动的相似度,利用该算法确定过程的相似度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data-driven business process similarity
Although measuring the similarity of business processes based on activity labels, structural and behavioural factors can be effective, defining inexact and incomplete labels and the existence of multiple labels for similar activities cause challenges for determining similar processes. Recent attempts to consider data in business process management and the support of data modelling in business process standards have led to the creation of multiple business models with data access. In this study, a method considering data for measuring business process similarity is presented in which first the similarity of activities is measured according to their structures and behaviours in a process and also their data access. Then based on the similarity of activities, the similarity of processes is determined using the proposed algorithm.
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