1 citations · 1 across the 3 of their papers we have counts for
3 papers
Releasing Differentially Private Event Logs Using Generative Models
Frederik Wangelik, Majid Rafiei, Mahsa Pourbafrani +1
In recent years, the industry has been witnessing an extended usage of process mining and automated event data analysis. Consequently, there is a rising significance in addressing…
TraVaG: Differentially Private Trace Variant Generation Using GANs
Majid Rafiei, Frederik Wangelik, Mahsa Pourbafrani +1
Process mining is rapidly growing in the industry. Consequently, privacy concerns regarding sensitive and private information included in event data, used by process mining algorit…
TraVaS: Differentially Private Trace Variant Selection for Process Mining
Majid Rafiei, Frederik Wangelik, Wil M. P. van der Aalst
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 qua…