A hierarchical partial-order algorithm derives concurrent traces from event logs and aggregates them into sound-by-construction, perfectly fitting process models while abstracting choices and loops for compactness.
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Revealing Inherent Concurrency in Event Data: A Partial Order Approach to Process Discovery
A hierarchical partial-order algorithm derives concurrent traces from event logs and aggregates them into sound-by-construction, perfectly fitting process models while abstracting choices and loops for compactness.