Process Discovery Contest 2017

DOI:10.4121/14625948.v1
The DOI displayed 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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