A package providing multiple anonymization methods for XES-event logs
Project description
Introduction
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.
Python package
The implementation has been published as a standard Python package. Use the following command to install the corresponding Python package:
pip install p-anon-ops
Usage
Look at the following directory to see the samples of usage: "ppdp-anonops/tests"
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