Process Mining on Uncertain Event Data
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 8 of its 9 references that are in the map. First posted on arXiv 8 Apr 2022.
Builds on
8 of 9 references.
References · 8
- 2020Conformance Checking over Uncertain Event Datacited by 13
- 2019Mining Uncertain Event Data in Process Miningcited by 9
- 2019Discovering Process Models from Uncertain Event Datacited by 8
- 2021Uncertain Process Data with Probabilistic Knowledge: Problem Characterization and Challengescited by 7
- 2020Efficient Construction of Behavior Graphs for Uncertain Event Datacited by 6
- 2020Efficient Time and Space Representation of Uncertain Event Datacited by 6
- 2021Probability Estimation of Uncertain Process Trace Realizationscited by 6
- 2021PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Datacited by 5
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Citing papers per year: 2022: 2.
2 papers.