TraVaS: Differentially Private Trace Variant Selection for Process Mining. (arXiv:2210.14951v1 [cs.CR])

In the area of industrial process mining, privacy-preserving event data
publication is becoming increasingly relevant. Consequently, the trade-off
between high data utility and quantifiable privacy poses new challenges.
State-of-the-art research mainly focuses on differentially private trace
variant construction based on prefix expansion methods. However, these
algorithms face several practical limitations such as high computational
complexity, introducing fake variants, removing frequent variants, and a
bounded variant length. In this paper, we introduce a new approach for direct
differentially private trace variant …

mining process trace