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CPL+: An improved approach for evaluating the local completeness of event logs

机译：CPL +：一种用于评估事件日志的本地完整性的改进方法

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摘要

Process mining aims at deriving order relations between tasks recorded by event logs in order to construct their corresponding process models. The quality of the results is not only determined by the mining algorithm being used, but also by the quality of the provided event logs. As a criterion of log quality, completeness measures the magnitude of information for process mining covered by an event log. In this paper, we focus on the evaluation of the local completeness of an event log. In particular, we consider the direct succession (DS) relations between the tasks of a business process. Based on our previous work, an improved approach called CPL+ is proposed in this paper. Experiments show that the proposed CPL+ works better than other approaches, on event logs that contain a small amount of traces. Finally, by further investigating CPL+, we also found that the more distinct DSs observed in an event log, the lower the local completeness of the log is.
机译：流程挖掘旨在推导事件日志记录的任务之间的顺序关系，以构建其相应的流程模型。结果的质量不仅取决于所使用的挖掘算法，还取决于所提供事件日志的质量。作为日志质量的标准，完整性衡量事件日志涵盖的过程挖掘信息的大小。在本文中，我们集中于对事件日志的局部完整性的评估。特别是，我们考虑业务流程任务之间的直接继承（DS）关系。在我们之前的工作的基础上，本文提出了一种改进的方法，称为CPL +。实验表明，在包含少量跟踪的事件日志中，建议的CPL +比其他方法效果更好。最后，通过进一步研究CPL +，我们还发现在事件日志中观察到的DS越多，日志的本地完整性越低。

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