A Critical Evaluation Study of Model-Log Metrics in Process Discovery

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Abstract

The development of a well-defined evaluation framework for process discovery techniques is definitely one of the most important challenges within this subdomain of process mining. Any researcher in the field will acknowledge that such a framework is vital. With this paper, we aim to provide a tangible analysis of the currently available model-log evaluation metrics for mined control-flow models. Also, we will indicate strengths and weaknesses of the existing metrics and propose a number of opportunities for future research.