bokomslag Privacy in Statistical Databases
Data & IT

Privacy in Statistical Databases

Josep Domingo-Ferrer Krishnamurty Muralidhar

Pocket

1149:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-16 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 370 sidor
  • 2020
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and 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.
  • Författare: Josep Domingo-Ferrer, Krishnamurty Muralidhar
  • Format: Pocket/Paperback
  • ISBN: 9783030575205
  • Språk: Engelska
  • Antal sidor: 370
  • Utgivningsdatum: 2020-08-21
  • Förlag: Springer Nature Switzerland AG