Mining Collaboration Business Process Containing Invisible Task by Using Modified Alpha

A. F. Septiyanto, R. Sarno, K. R. Sungkono
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Abstract

Business processes are experiencing increasingly complex developments; therefore, an extensive business process must cover all existing process flows. Applied business process collaboration between organizations can complete a complex business process. The additional information which shows the collaboration of activities is called messages. Process discovery is currently focused on a series of activities in a single process model, so the process discovery cannot depict the messages in the business process collaboration. In addition, there are several problems in describing the condition of activities, e.g., an Invisible Task. The Invisible Task is a condition of additional tasks that appear not in the event logs but in the process models. The Invisible Task must be described in the process model; therefore, it can be analyzed further. Several conditions which need the Invisible Task are redo, switch, and skip conditions. In this research, the proposed method is to obtain information about the event log of all activities of the business process collaboration and discover any Invisible Task to describe in the process model. The proposed method, named the Modified Alpha algorithm, builds several rules for adding messages and the Invisible Task in the event log before executing the Alpha algorithm. The results of this study indicate that the Modified Alpha algorithm can describe the collaboration process model. Based on the comparison results, the Modified Alpha algorithm gets the best results than other algorithms, namely Alpha# and Inductive Miner. Modified Alpha received 1.00, 1.00, 1.00, 0.82 for the fitness, precision, simplicity, and generalization. Alpha# Miner earned 0.74 and 0.70 for the simplicity and generalization, and Inductive Miner gained 0.55 simplicity value and 0.72 generalization value. Alpha# Miner and Inductive Miner got 0.00 for the fitness and the precision.
利用改进Alpha算法挖掘包含不可见任务的协同业务流程
业务流程正在经历越来越复杂的发展;因此,广泛的业务流程必须覆盖所有现有的流程流。组织间应用业务流程协作可以完成复杂的业务流程。显示活动协作的附加信息称为消息。流程发现目前主要关注单个流程模型中的一系列活动,因此流程发现无法描述业务流程协作中的消息。此外,在描述活动的状态时还存在一些问题,例如,一个不可见的任务。不可见任务是附加任务的一种条件,这些任务不出现在事件日志中,而是出现在流程模型中。不可见任务必须在流程模型中描述;因此,可以进一步分析。需要隐形任务的几个条件是重做、切换和跳过条件。本文提出的方法是获取业务流程协作中所有活动的事件日志信息,并发现流程模型中需要描述的不可见任务。所提出的方法被命名为Modified Alpha算法,它在执行Alpha算法之前构建了一些规则,用于在事件日志中添加消息和Invisible Task。研究结果表明,改进的Alpha算法可以很好地描述协作过程模型。对比结果表明,改进的Alpha算法比其他算法(Alpha#和归纳Miner)得到了最好的结果。修正Alpha在适应度、精度、简单性和泛化方面的得分分别为1.00、1.00、1.00、0.82。Alpha# Miner的简单性和泛化值分别为0.74和0.70,归纳Miner的简单性和泛化值分别为0.55和0.72。Alpha# Miner和inductminer的适应度和精度都得到了0.00。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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