Artem Polyvyanyy - "Understanding Quality of Process Models Discovered from Event Data"

The quality of a discovered process model is commonly assessed in process mining against four quality criteria: precision, recall, generalization, and simplicity. In this talk, I give an overview of these four quality criteria and elaborate on the topics related to challenges associated with measuring the quality of discovered process models, desired properties for measures of the model quality, and results on evaluating the existing quality measures against the corresponding desired properties.


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