Corpus ID: 49331018

Log Skeletons: A Classification Approach to Process Discovery

@article{Verbeek2018LogSA,
  title={Log Skeletons: A Classification Approach to Process Discovery},
  author={H. Verbeek and R. Carvalho},
  journal={ArXiv},
  year={2018},
  volume={abs/1806.08247}
}
To test the effectiveness of process discovery algorithms, a Process Discovery Contest (PDC) has been set up. This PDC uses a classification approach to measure this effectiveness: The better the discovered model can classify whether or not a new trace conforms to the event log, the better the discovery algorithm is supposed to be. Unfortunately, even the state-of-the-art fully-automated discovery algorithms score poorly on this classification. Even the best of these algorithms, the Inductive… Expand
1 Citations
The Log Skeleton Visualizer in ProM 6.9
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This paper introduces the winning contribution to the PDC 2019, called the Log Skeleton Visualizer, which uses a novel type of process models called log skeletons, which offer circumstantial information on the event log at hand rather than only sequential information. Expand

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