Privacy-preserving Process Mining: Differential - Privacy for Event Logs (Extended Abstract) (bibtex)

by Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, and Judith Michael

Reference:

Privacy-preserving Process Mining: Differential - Privacy for Event Logs (Extended Abstract) (Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, and Judith Michael), In Inform. Spektrum, volume 42, 2019.

Bibtex Entry:

@article{DBLP:journals/insk/MannhardtKBWM19,
  author    = {Felix Mannhardt and
               Agnes Koschmider and
               Nathalie Baracaldo and
               Matthias Weidlich and
               Judith Michael},
  title     = {Privacy-preserving Process Mining: Differential - Privacy for Event
               Logs (Extended Abstract)},
  journal   = {Inform. Spektrum},
  volume    = {42},
  number    = {5},
  pages     = {349--351},
  year      = {2019},
  url       = {https://doi.org/10.1007/s00287-019-01207-9},
  doi       = {10.1007/s00287-019-01207-9},
  timestamp = {Sun, 25 Jul 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/insk/MannhardtKBWM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  pdf       = {https://www.informatik.hu-berlin.de/%7eweidlima/pubs/mannhardt_insk_2019_privacy-preserving_process_mining.pdf}
}