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Protecting micro-data by micro-aggregation: the experience in Eurostat
dc.contributor.author | Defays, Daniel |
dc.date.accessioned | 2008-03-18T17:54:34Z |
dc.date.available | 2008-03-18T17:54:34Z |
dc.date.issued | 1997 |
dc.identifier.citation | Defays, Daniel. "Protecting micro-data by micro-aggregation: the experience in Eurostat". Qüestiió. 1997, vol.21, núm.1-2 |
dc.identifier.issn | 0210-8054 (versió paper) |
dc.identifier.uri | http://hdl.handle.net/2099/4685 |
dc.description.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. |
dc.format.extent | 11 p. |
dc.language.iso | eng |
dc.publisher | Institut d'estadística de Catalunya |
dc.rights | Attribution-NonCommercial-NoDerivs 2.5 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/es/ |
dc.subject.lcsh | Statistics |
dc.subject.other | Confidentiality |
dc.subject.other | Clustering |
dc.subject.other | Micro-aggregation |
dc.title | Protecting micro-data by micro-aggregation: the experience in Eurostat |
dc.title.alternative | Protección de microdatos por microagregación: la experiencia en Eurostat |
dc.type | Article |
dc.subject.lemac | Aplicacions (Matemàtica) |
dc.subject.ams | Classificació AMS::62 Statistics::62P Applications |
dc.rights.access | Open Access |
local.ordre | 11 |
local.personalitzacitacio | true |