论文标题
过程挖掘中的概率和非确定性事件数据：在过程分析技术中嵌入不确定性
Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques
论文作者
论文摘要
过程挖掘是过程科学的一个子字段，它分析了在称为事件日志的数据库中收集的事件数据。最近，由于过程挖掘分析的广泛应用，新型事件数据已引起人们的关注。在本文中，我们检查了不确定的事件数据。这样的数据包含元属性，描述了与事件日志中记录的属性相关的不精确量。我们提供了不确定事件数据的示例，介绍了在过程挖掘的不确定性方面的最新技术，并说明了与该研究方向相关的开放挑战。
Process mining is a subfield of process science that analyzes event data collected in databases called event logs. Recently, novel types of event data have become of interest due to the wide industrial application of process mining analyses. In this paper, we examine uncertain event data. Such data contain meta-attributes describing the amount of imprecision tied with attributes recorded in an event log. We provide examples of uncertain event data, present the state of the art in regard of uncertainty in process mining, and illustrate open challenges related to this research direction.
