This project implemets basic anonymization operations for event data which are used by process mining techniques. The anonymization operations are formally explained in the following paper: https://www.researchgate.net/publication/342048551_Privacy-Preserving_Data_Publishing_in_Process_Mining
Ref: implemeted by "Alexander 'DevSchnitzel' Schnitzler" as part of his bachelor thesis at PADS group.
The implementation has been published as a standard Python package. Use the following command to install the corresponding Python package:
pip install ppdp-anonops
Look at the following directory in the Github project to see the samples of usage: "ppdp-anonops/tests"