论文标题
不确定事件数据的XES扩展程序
An XES Extension for Uncertain Event Data
论文作者
论文摘要
事件数据通常以事件日志的形式存储，是过程挖掘和其他基于证据的过程改进的起点。但是，日志中的事件数据通常被噪声，错误和缺少数据所污染。最近，出现了一系列新型的研究机构，目的是解决和分析事件日志中用元信息量化的一类被称为不确定性的异常。本文说明了能够表示不确定事件数据的XES数据标准的扩展。这样的扩展可以实现对不确定数据的输入，输出和操纵，以及通过过程发现和一致性检查方法的分析。
Event data, often stored in the form of event logs, serve as the starting point for process mining and other evidence-based process improvements. However, event data in logs are often tainted by noise, errors, and missing data. Recently, a novel body of research has emerged, with the aim to address and analyze a class of anomalies known as uncertainty-imprecisions quantified with meta-information in the event log. This paper illustrates an extension of the XES data standard capable of representing uncertain event data. Such an extension enables input, output, and manipulation of uncertain data, as well as analysis through the process discovery and conformance checking approaches available in literature.
