论文标题
对不确定事件数据的过程开采
Process Mining on Uncertain Event Data
论文作者
论文摘要
随着组织挖掘的广泛采用，流程科学领域正在看到对非标准事件数据的临时分析技术的需求有所增加。此类数据的一个示例是不确定的事件数据：以描述和量化的属性不精确为特征的事件。本文概述了一个研究项目，旨在开发能够从不确定数据中提取见解的过程挖掘技术。我们为该研究主题设定了基础，概括了可用的文献，并定义了未来的前景。
With the widespread adoption of process mining in organizations, the field of process science is seeing an increase in the demand for ad-hoc analysis techniques of non-standard event data. An example of such data are uncertain event data: events characterized by a described and quantified attribute imprecision. This paper outlines a research project aimed at developing process mining techniques able to extract insights from uncertain data. We set the basis for this research topic, recapitulate the available literature, and define a future outlook.
