Privacy in Statistical Databases [electronic resource] : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings /

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Material type: Text

TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 12276Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XI, 370 p. 25 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030575212

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.312 23

LOC classification:

QA76.9.D343

Online resources:

Click here to access online

Contents:

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.

In: Springer Nature eBookSummary: 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.

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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.

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