TY - DATA T1 - Process Discovery Contest 2017 PY - 2021/05/21 AU - J. (Josep) Carmona AU - Massimiliano de Leoni AU - Benoît Depaire AU - Toon Jouck UR - https://data.4tu.nl/articles/dataset/Process_Discovery_Contest_2017/14625948/1 DO - 10.4121/14625948.v1 KW - Artificial event logs KW - Task Force on Process Mining KW - Process Discovery Contest KW - PDC 2017 N2 - 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).

ER -