Protecting micro-data by micro-aggregation: the experience in Eurostat
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 co...
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| Tipo de documento: | artigo |
| Data de publicação: | 1997 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2099/4685 |
| Acesso em linha: | https://hdl.handle.net/2099/4685 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Statistics Confidentiality Clustering Micro-aggregation Aplicacions (Matemàtica) Classificació AMS::62 Statistics::62P Applications |
| Resumo: | 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. |
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