Process Mining on Uncertain Event Data

CEUR Workshop Proceedings 3098 (2022) 1-2 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 characterize...

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Bibliographic Details
Main Author Pegoraro, Marco
Format Journal Article
LanguageEnglish
Published 08.04.2022
Subjects
Computer Science - Artificial Intelligence
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Summary:CEUR Workshop Proceedings 3098 (2022) 1-2 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.
DOI:10.48550/arxiv.2204.04148