Privacy in Statistical Databases [electronic resource] : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020, Proceedings / edited by Josep Domingo-Ferrer, Krishnamurty Muralidhar.
Contributor(s): Domingo-Ferrer, Josep [editor.]
| Muralidhar, Krishnamurty [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 12276Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XI, 370 p. 25 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030575212.Subject(s): 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 IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
Contents:
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.
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.
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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.
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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