Statistical disclosure control in tabular data

Data disseminated by National Statistical Agencies (NSAs) can be classified as either microdata or tabular data. Tabular data is obtained from microdata by crossing one or more categorical variables. Although cell tables provide aggregated information, they also need to be protected. This chapter is...

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Detalles Bibliográficos
Autor: Castro Pérez, Jordi|||0000-0003-3573-4568
Tipo de recurso: capítulo de libro
Fecha de publicación:2010
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/9753
Acceso en línea:https://hdl.handle.net/2117/9753
https://dx.doi.org/10.1007/978-1-84996-238-4
Access Level:acceso abierto
Palabra clave:Mathematical statistics
Estadística matemàtica
62
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
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spelling Statistical disclosure control in tabular dataCastro Pérez, Jordi|||0000-0003-3573-4568Mathematical statisticsEstadística matemàtica62Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàticaData disseminated by National Statistical Agencies (NSAs) can be classified as either microdata or tabular data. Tabular data is obtained from microdata by crossing one or more categorical variables. Although cell tables provide aggregated information, they also need to be protected. This chapter is a short introduction to tabular data protection. It contains three main sections. The first one shows the different types of tables that can be obtained, and how they are modeled. The second describes the practical rules for detection of sensitive cells that are used by NSAs. Finally, an overview of protection methods is provided, with a particular focus on two of them: “cell suppression problem” and “controlled tabular adjustment”.Springer Verlag20102010-09-0120102010-10-18book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/2117/9753https://dx.doi.org/10.1007/978-1-84996-238-4reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/97532026-05-27T15:37:01Z
dc.title.none.fl_str_mv Statistical disclosure control in tabular data
title Statistical disclosure control in tabular data
spellingShingle Statistical disclosure control in tabular data
Castro Pérez, Jordi|||0000-0003-3573-4568
Mathematical statistics
Estadística matemàtica
62
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
title_short Statistical disclosure control in tabular data
title_full Statistical disclosure control in tabular data
title_fullStr Statistical disclosure control in tabular data
title_full_unstemmed Statistical disclosure control in tabular data
title_sort Statistical disclosure control in tabular data
dc.creator.none.fl_str_mv Castro Pérez, Jordi|||0000-0003-3573-4568
author Castro Pérez, Jordi|||0000-0003-3573-4568
author_facet Castro Pérez, Jordi|||0000-0003-3573-4568
author_role author
dc.subject.none.fl_str_mv Mathematical statistics
Estadística matemàtica
62
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
topic Mathematical statistics
Estadística matemàtica
62
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
description Data disseminated by National Statistical Agencies (NSAs) can be classified as either microdata or tabular data. Tabular data is obtained from microdata by crossing one or more categorical variables. Although cell tables provide aggregated information, they also need to be protected. This chapter is a short introduction to tabular data protection. It contains three main sections. The first one shows the different types of tables that can be obtained, and how they are modeled. The second describes the practical rules for detection of sensitive cells that are used by NSAs. Finally, an overview of protection methods is provided, with a particular focus on two of them: “cell suppression problem” and “controlled tabular adjustment”.
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-09-01
2010
2010-10-18
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/9753
https://dx.doi.org/10.1007/978-1-84996-238-4
url https://hdl.handle.net/2117/9753
https://dx.doi.org/10.1007/978-1-84996-238-4
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Verlag
publisher.none.fl_str_mv Springer Verlag
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
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score 15.300724

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