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Privacy in Statistical Databases
Hoofdkenmerken
Auteur: Josep DomingoFerrer; Krishnamurty Muralidhar
Titel: Privacy in Statistical Databases
Uitgever: Springer Nature
ISBN: 9783030575212
ISBN boekversie: 9783030575205
Editie: 1
Prijs: € 89.91
Verschijningsdatum: 16-09-2020
Inhoudelijke kenmerken
Categorie: Data mining
Taal: English
Imprint: Springer
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

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.
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