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Process mining is a subfield of process science that analyzes event datacollected in databases called event logs. Recently, novel types of event datahave become of interest due to the wide industrial application of processmining analyses. In this paper, we examine uncertain event data. Such datacontain meta-attributes describing the amount of imprecision tied withattributes recorded in an event log. We provide examples of uncertain eventdata, present the state of the art in regard of uncertainty in process mining,and illustrate open challenges related to this research direction.

Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques