Process Discovery Contest 2017

doi:10.4121/14625948.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14625948
Datacite citation style:
J. (Josep) Carmona; Massimiliano de Leoni; Benoît Depaire; Toon Jouck (2021): Process Discovery Contest 2017. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14625948.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This is the data set that was used for the Process Discovery Contest of 2017 (PDC 2017). The data set contains 10 training logs, 10 corresponding test logs, and 10 corresponding ground truth logs. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858).

In each ground truth log, the additional boolean “pdc:isPos” attribute denotes whether the trace is positive (fits the model, true) or negative (does not fit the model, false).

history
  • 2021-05-21 first online, published, posted
publisher
4TU.ResearchData
format
IEEE XES
organizations
Task Force on Process Mining (https://tf-pm.org)

DATA

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