Protecting micro-data by micro-aggregation: the experience in Eurostat.

Daniel Defays

Qüestiió (1997)

  • Volume: 21, Issue: 1-2, page 221-231
  • ISSN: 0210-8054

Abstract

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A natural strategy to protect the confidentiality of individual data is to aggregate them at the lowest possible level. Some studies realised in Eurostat on this topic will be presented: properties of classifications in clusters of fixed sizes, micro-aggregation as a generic method to protect the confidentiality of individual data, application to the Community Innovation Survey. The work performed in Eurostat will be put in line with other projects conducted at European level on the topic of statistical confidentiality.

How to cite

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Defays, Daniel. "Protecting micro-data by micro-aggregation: the experience in Eurostat.." Qüestiió 21.1-2 (1997): 221-231. <http://eudml.org/doc/40186>.

@article{Defays1997,
abstract = {A natural strategy to protect the confidentiality of individual data is to aggregate them at the lowest possible level. Some studies realised in Eurostat on this topic will be presented: properties of classifications in clusters of fixed sizes, micro-aggregation as a generic method to protect the confidentiality of individual data, application to the Community Innovation Survey. The work performed in Eurostat will be put in line with other projects conducted at European level on the topic of statistical confidentiality.},
author = {Defays, Daniel},
journal = {Qüestiió},
keywords = {Protección de datos; Datos estadísticos; Algoritmos de clasificación; Codificación de datos; Criptología},
language = {eng},
number = {1-2},
pages = {221-231},
title = {Protecting micro-data by micro-aggregation: the experience in Eurostat.},
url = {http://eudml.org/doc/40186},
volume = {21},
year = {1997},
}

TY - JOUR
AU - Defays, Daniel
TI - Protecting micro-data by micro-aggregation: the experience in Eurostat.
JO - Qüestiió
PY - 1997
VL - 21
IS - 1-2
SP - 221
EP - 231
AB - A natural strategy to protect the confidentiality of individual data is to aggregate them at the lowest possible level. Some studies realised in Eurostat on this topic will be presented: properties of classifications in clusters of fixed sizes, micro-aggregation as a generic method to protect the confidentiality of individual data, application to the Community Innovation Survey. The work performed in Eurostat will be put in line with other projects conducted at European level on the topic of statistical confidentiality.
LA - eng
KW - Protección de datos; Datos estadísticos; Algoritmos de clasificación; Codificación de datos; Criptología
UR - http://eudml.org/doc/40186
ER -

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