An XES Extension for Uncertain Event Data [article]

Marco Pegoraro, Merih Seran Uysal, Wil M.P. van der Aalst
2022 arXiv   pre-print
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
more » ... ng 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.
arXiv:2204.04135v1 fatcat:yrhcb426rfcyfpmss4m64sm2ca