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: 10.4121/14625996

J. (Josep) Carmona; Massimiliano de Leoni; Benoît Depaire (2021): Process Discovery Contest 2019. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14625996.v1

Dataset

• Information Systems

Artificial event logs, PDC 2019, Process Discovery Contest, Task Force on Process Mining

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by J. (Josep) Carmona , Massimiliano de Leoni , Benoît Depaire

This is the data set that was used for the Process Discovery Contest of 2019 (PDC 2019). 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).

• 2021-05-21 first online, published, posted

4TU.ResearchData

IEEE XES

• https://icpmconference.org/2019/process-discovery-contest

Task Force on Process Mining (https://tf-pm.org)