Privacy in Statistical Databases [electronic resource] : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings / edited by Josep Domingo-Ferrer, Krishnamurty Muralidhar.
Materialtyp:
TextSerie: Information Systems and Applications, incl. Internet/Web, and HCI ; 12276Utgivningsuppgift: Cham : Springer International Publishing : Imprint: Springer, 2020Utgåva: 1st ed. 2020Beskrivning: 1 online resource (XI, 370 p. 25 illus.)Innehållstyp: - text
- computer
- online resource
- 9783030575212
- 006.312 23
- QA76.9.D343
Innehåll:
I: Springer Nature eBookSammanfattning: The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Privacy models -- Microdata protection -- Protection of statistical tables -- Protection of interactive and mobility databases -- Record linkage and alternative methods -- Synthetic data -- Data quality -- Case studies.
Inga fysiska exemplar för denna post
Privacy models -- Microdata protection -- Protection of statistical tables -- Protection of interactive and mobility databases -- Record linkage and alternative methods -- Synthetic data -- Data quality -- Case studies.
The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Print version record.
Licensed e-book