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Published March 12, 2021 | Version 0.1
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Differentially Private Event Logs for Process Mining: Supplementary Material

  • 1. University of Tartu, Tartu Estonia
  • 2. Cybernetica, Tartu, Estonia

Description

In this archive, we provide supplementary material for our paper entitled "Mine Me but Don’t Single Me Out: DifferentiallyPrivate Event Logs for Process Mining". We list the selected event logs and their characteristics and descriptive statistics. Also, this archive contains the anonymized event logs as the result of the experiments. The source code is available on GitHub.

Files

anonymized_logs.zip

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