An XES Extension for Uncertain Event Data

Marco Pegoraro, M. S. Uysal, Wil M.P. van der Aalst
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引用次数: 2

Abstract

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.
不确定事件数据的XES扩展
事件数据通常以事件日志的形式存储,作为流程挖掘和其他基于证据的流程改进的起点。但是,日志中的事件数据经常受到噪声、错误和丢失数据的影响。最近,一个新的研究主体出现了,其目的是解决和分析一类被称为不确定性-不精度的异常,用事件日志中的元信息量化。本文阐述了对XES数据标准的扩展,使其能够表示不确定事件数据。这样的扩展支持输入、输出和不确定数据的操作,以及通过文献中可用的过程发现和一致性检查方法进行分析。
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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