Privacy-Preserving Process Mining with PM4Py (Extended Abstract)

Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, Matthias Weidlich. Privacy-Preserving Process Mining with PM4Py (Extended Abstract). In Marwan Hassani, Agnes Koschmider, Marco Comuzzi, Fabrizio Maria Maggi, Luise Pufahl, editors, Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022. Volume 3299 of CEUR Workshop Proceedings, pages 85-89, CEUR-WS.org, 2022. [doi]

@inproceedings{KirchmannFKAW22,
  title = {Privacy-Preserving Process Mining with PM4Py (Extended Abstract)},
  author = {Henrik Kirchmann and Stephan A. Fahrenkrog-Petersen and Martin Kabierski and Han van der Aa and Matthias Weidlich},
  year = {2022},
  url = {http://ceur-ws.org/Vol-3299/Paper18.pdf},
  researchr = {https://researchr.org/publication/KirchmannFKAW22},
  cites = {0},
  citedby = {0},
  pages = {85-89},
  booktitle = {Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022},
  editor = {Marwan Hassani and Agnes Koschmider and Marco Comuzzi and Fabrizio Maria Maggi and Luise Pufahl},
  volume = {3299},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}