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A Method to Identify the Difference between Two Process Models

机译：一种识别两个过程模型之间差异的方法

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—Process mining is getting much attentions and interests in the development of the web-based information technique (IT) field. Process conformance, one of process mining techniques, may be the most common method used to find out the (dis)similar working process(es). The distinguishing processes found are greatly instrumental in making business decisions, such as conduction strategies, service tactics, manufacturing process, …, etc., and further to advance their working efficiency. Several process conformance approaches have been developed and discussed over the past decade, but those discussions involving in the investigation to seek for reasons why the working processes are (un)conformable are rare. To advance the function of the process conformance, this paper introduces the two parameters, Support and Confidence, used for newly defining the tinguishability among various processes; meanwhile, they are also taken to identify the roots resulting to the process distinguishing. “Support” parameter functions as the evaluation of the process similarity based on the working activity sequences ( or called “from-to” workflows) and on the relationships among the various processes evaluated; “Confidence” as the measure of the process relationships defined by a ratio of the identical activities within two processes to the total activities of each individual process. Moreover, the two proposed parameters had also been applied to a real case, in which the nursing processes worked in the pediatrics department of a hospital were measured and improved. To the best knowledge of the authors, there does not have an exact technique that, so far, is intact of considering the whole situation where all of the process conformance factors are involved; even the presentation of this paper cannot be avoidable. Nevertheless, this paper truly provides a way to find a certain degree of a lower bound of the process distinguishability through the two proposed conformance parameters.
机译：- 在基于Web的信息技术（IT）字段的开发中获得了很大的关注和兴趣。过程一致性，一个过程挖掘技术之一，可以是用于找出（DIS）类似的工作过程的最常用方法。发现的区别过程非常有助于制定业务决策，例如传导策略，服务策略，制造过程，...等，以及进一步推进其工作效率。在过去的十年中已经开发并讨论了几种过程一致性方法，但涉及在调查中寻求的讨论，以寻求为什么工作流程（联合国）适从的原因很少见。为了推进过程一致性的功能，本文介绍了用于新定义各种过程之间的Tuinfisigy的两个参数，支持和信心;同时，它们也被采取识别根源，导致过程区分。 “支持”参数用作基于工作活动序列（或称为“从”到“工作流）的过程相似性的评估，以及评估的各种过程之间的关系; “信心”作为衡量两种过程中相同活动与每个单独过程的总活动的比率定义的过程关系。此外，两种提出的参数也应用于实际情况，其中测量并改善了医院儿科部门的护理过程。为了提名的最佳知识，到目前为止，没有确切的技术，无需考虑所有过程一致性因素所涉及的整体情况;即使是本文的演示也不能避免。尽管如此，本文真正提供了一种方法，可以通过两个提出的一致性参数找到过程可区分性的一定程度的下限。

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