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dc.contributor.authorDefays, Daniel
dc.date.accessioned2008-03-18T17:54:34Z
dc.date.available2008-03-18T17:54:34Z
dc.date.issued1997
dc.identifier.citationDefays, Daniel. "Protecting micro-data by micro-aggregation: the experience in Eurostat". Qüestiió. 1997, vol.21, núm.1-2
dc.identifier.issn0210-8054 (versió paper)
dc.identifier.urihttp://hdl.handle.net/2099/4685
dc.description.abstractA 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.
dc.format.extent11 p.
dc.language.isoeng
dc.publisherInstitut d'estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subject.lcshStatistics
dc.subject.otherConfidentiality
dc.subject.otherClustering
dc.subject.otherMicro-aggregation
dc.titleProtecting micro-data by micro-aggregation: the experience in Eurostat
dc.title.alternativeProtección de microdatos por microagregación: la experiencia en Eurostat
dc.typeArticle
dc.subject.lemacAplicacions (Matemàtica)
dc.subject.amsClassificació AMS::62 Statistics::62P Applications
dc.rights.accessOpen Access
local.ordre11
local.personalitzacitaciotrue


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