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  • Produktbild: Data Privacy: Foundations, New Developments and the Big Data Challenge
  • Produktbild: Data Privacy: Foundations, New Developments and the Big Data Challenge
Band 28

Data Privacy: Foundations, New Developments and the Big Data Challenge

Aus der Reihe Studies in Big Data

Fr. 209.00

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining...

Beschreibung

This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities.
Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.05.2017

Abbildungen

XIV, 269 p. 22 illus.

Verlag Springer

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.05.2017

Abbildungen

XIV, 269 p. 22 illus.

Verlag Springer
Seitenzahl

269

Maße (L/B/H)

24.1/16/2.1 cm

Gewicht

542 g

Auflage

1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-57356-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Data Privacy: Foundations, New Developments and the Big Data Challenge
  • Produktbild: Data Privacy: Foundations, New Developments and the Big Data Challenge
  • Introduction.- Machine and Statistical Learning.- On the Classification of Protection Procedures.- User’s privacy.- Privacy Models and Disclosure Risk Measures.- Masking methods.- Information loss: evaluation and measures.- Selection of masking methods.- Conclusions.