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dc.contributor.authorCastro Pérez, Jordi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2012-02-10T18:46:40Z
dc.date.available2012-02-10T18:46:40Z
dc.date.created2011-03
dc.date.issued2011-03
dc.identifier.citationCastro, J. "Recent advances in optimization techniques for statistical tabular data protection". 2011.
dc.identifier.urihttp://hdl.handle.net/2117/15074
dc.description.abstractOne of the main services of National Statistical Agencies (NSAs) for the current Information Society is the dissemination of large amounts of tabular data, which is obtained from microdata by crossing one or more categorical variables. NSAs must guarantee that no confidential individual information can be obtained from the released tabular data. Several statistical disclosure control methods are available for this purpose. These methods result in large linear, mixed integer linear, or quadratic mixed integer linear optimization problems. This paper reviews some of the existing approaches, with an emphasis on two of them: cell suppression problem (CSP) and controlled tabular adjustment (CTA). CSP and CTA have concentrated most of the recent research in the tabular data protection field. The particular focus of this work is on methods and results of practical interest for end-users (mostly, NSAs). Therefore, in addition to the resulting optimization models and solution approaches, computational results comparing the main optimization techniques—both optimal and heuristic—using real-world instances are also presented.
dc.format.extent30 p.
dc.language.isoeng
dc.relation.ispartofseriesDR 2011/03
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica
dc.subject.lcshNumerical analysis
dc.titleRecent advances in optimization techniques for statistical tabular data protection
dc.typeExternal research report
dc.subject.lemacAnàlisi numèrica
dc.contributor.groupUniversitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització
dc.subject.amsClassificació AMS::65 Numerical analysis::65K Mathematical programming, optimization and variational techniques
dc.relation.publisherversionhttp://www-eio.upc.es/~jcastro/publications/reports/dr2011-03.pdf
dc.rights.accessOpen Access
local.identifier.drac9401828
dc.description.versionPreprint
local.citation.authorCastro, J.
local.citation.publicationNameRecent advances in optimization techniques for statistical tabular data protection


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