Exploració per autor "Castro Pérez, Jordi"
Ara es mostren els items 118-137 de 144
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Recent advances in optimization techniques for statistical tabular data protection
(Elsevier, 2012-01-16)
Article
Accés obertOne 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 ... -
Recent advances in optimization techniques for statistical tabular data protection
(2011-03)
Report de recerca
Accés obertOne 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 ... -
Revisiting interval protection, a.k.a. partial cell suppression, for tabular data
(Springer, 2016)
Text en actes de congrés
Accés obertInterval protection or partial cell suppression was introduced in “M. Fischetti, J.-J. Salazar, Partial cell suppression: A new methodology for statistical disclosure control, Statistics and Computing, 13, 13–21, 2003” as ... -
Rounding methods for protecting EU-aggregates
(Eurostat-Office for Official Publications of the European Communities, 2007)
Text en actes de congrés
Accés obertIn the European Statistical System the statistical information is collected by the National Statistical Institutes (NSIs). The NSIs produce aggregate tables at the national level. They are also responsible for proper ... -
Solving $L_1$-CTA in 3D tables by an interior-point method for primal block-angular problems
(2011-03)
Report de recerca
Accés obertThe purpose of the field of statistical disclosure control is to avoid that no confidential information can be derived from statistical data released by, mainly, national statistical agencies. Controlled tabular adjustment ... -
Stabilized Benders methods for large-scale combinatorial optimization, with application to data privacy
(2020-07)
Article
Accés obertThe Cell Suppression Problem (CSP) is a very large Mixed-IntegerLinear Problem arising in statistical disclosure control. However, CSPhas the typical structure that allows application of the Benders de-composition, which ... -
Stabilized Benders methods for large-scale combinatorial optimization, with appllication to data privacy
(2017-10-24)
Report de recerca
Accés obertThe Cell Suppression Problem (CSP) is a challenging Mixed-Integer Linear Problem arising in statistical tabular data protection. Medium sized instances of CSP involve thousands of binary variables and million of continuous ... -
Statistical disclosure control in tabular data
(Springer Verlag, 2010-09)
Capítol de llibre
Accés obertData 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 ... -
STOCHASTIC PROGRAMMING
(Universitat Politècnica de Catalunya, 2017-05-30)
Examen
Accés restringit a la comunitat UPC -
STOCHASTIC PROGRAMMING
(Universitat Politècnica de Catalunya, 2019-05-31)
Examen
Accés restringit a la comunitat UPC -
STOCHASTIC PROGRAMMING
(Universitat Politècnica de Catalunya, 2014-06-06)
Examen
Accés restringit a la comunitat UPC -
STOCHASTIC PROGRAMMING
(Universitat Politècnica de Catalunya, 2018-06-01)
Examen
Accés restringit a la comunitat UPC -
STOCHASTIC PROGRAMMING
(Universitat Politècnica de Catalunya, 2015-06-05)
Examen
Accés restringit a la comunitat UPC -
STOCHASTIC PROGRAMMING
(Universitat Politècnica de Catalunya, 2016-06-01)
Examen
Accés restringit a la comunitat UPC -
STOCHASTIC PROGRAMMING
(Universitat Politècnica de Catalunya, 2020-06-05)
Examen
Accés restringit a la comunitat UPC -
Symmetric vs asymmetric protection levels in SDC methods for tabular data
(Springer, 2018-09)
Article
Accés obertProtection levels on sensitive cells—which are key parameters of any statistical disclosure control method for tabular data—are related to the difficulty of any attacker to recompute a good estimation of the true cell ... -
Testing variants of minimum distance controlled tabular adjustment
(Eurostat-Office for Official Publications of the European Communities, 2008-07-31)
Capítol de llibre
Accés obertControlled tabular adjustment (CTA), and its minimum distance variants, is a recent methodology for the protection of tabular data. Given a table to be protected, the purpose of the method is to fi nd the closest one that ... -
The Chebyshev center as an alternative to the analytic center in the feasibility pump
(2023-06-07)
Article
Accés obertAs a heuristic for obtaining feasible points of mixed integer linear problems, the feasibility pump (FP) generates two sequences of points: one of feasible solutions for the relaxed linear problem; and another of integer ... -
Thirty years of optimization-based SDC methods for tabular data
(2023-01)
Article
Accés obertIn 1966 Bacharach published in Management Science a work on matrix rounding problems in two-way tables of economic statistics, formulated as a network optimization problem. This is likely the first application of ... -
Un algoritmo de punto interior para programación cuadrática a través de problemas equivalentes separables
(Institut d'Estadística de Catalunya, 1998)
Article
Accés obertSe presenta un algoritmo de punto interior para la solución de problemas cuadráticos simétricos y definidos positivos, mediante su transformación en problemas equivalentes separables (esto es, la matriz de coeficientes ...
