Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020, Proceedings / edited by Josep Domingo-Ferrer, Krishnamurty Muralidhar.

Format:

Book

Contributor:

Domingo-Ferrer, Josep, Editor.

Muralidhar, Krishnamurty., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 12276

Information Systems and Applications, incl. Internet/Web, and HCI ; 12276

Language:

English

Subjects (All):

Data mining.

Information storage and retrieval systems.

Computers and civilization.

Data protection.

Artificial intelligence.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Computers and Society.

Data and Information Security.

Artificial Intelligence.

Local Subjects:

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Computers and Society.

Data and Information Security.

Artificial Intelligence.

Physical Description:

1 online resource (XI, 370 pages) : 25 illustrations

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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.

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.

Other Format:

Printed edition:

ISBN:

978-3-030-57521-2

9783030575212

Access Restriction:

Restricted for use by site license.