A robust F-measure for evaluating discovered process models

@article{Weerdt2011ARF,
  title={A robust F-measure for evaluating discovered process models},
  author={Jochen De Weerdt and Manu De Backer and Jan Vanthienen and Bart Baesens},
  journal={2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)},
  year={2011},
  pages={148-155}
}
Within process mining research, one of the most important fields of study is process discovery, which can be defined as the extraction of control-flow models from audit trails or information system event logs. The evaluation of discovered process models is an essential but difficult task for any process discovery analysis. With this paper, we propose a novel approach for evaluating discovered process models based on artificially generated negative events. This approach allows for the definition… CONTINUE READING
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