Process Discovery Contest 2016
doi:10.4121/14625912.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: 10.4121/14625912
doi: 10.4121/14625912
Datacite citation style:
J. (Josep) Carmona; Massimiliano de Leoni; Benoît Depaire; Toon Jouck (2021): Process Discovery Contest 2016. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14625912.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 2016 (PDC 2016). 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).
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
files (4)
- 717 bytesMD5:
06cd3430f16f269d43c317b5685f9331
readme.txt - 14,226 bytesMD5:
143943ab973646f0945d49c905733027
Ground Truth Logs.zip - 13,114 bytesMD5:
f4b8c0a26329afa896d93e7ebe8a1ca0
Test Logs.zip - 276,951 bytesMD5:
43fae61db1afc234edba8615cbf2647a
Training Logs.zip -
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