Exploració per autor "Baena, Daniel"
Ara es mostren els items 4-7 de 7
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Stabilized Benders methods for large-scale combinatorial optimization, with application to data privacy
Baena, Daniel; Castro Pérez, Jordi; Frangioni, Antonio (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
Baena, Daniel; Castro Pérez, Jordi; Frangioni, Antonio (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 ... -
Symmetric vs asymmetric protection levels in SDC methods for tabular data
Baena, Daniel; Castro Pérez, Jordi; González Alastrué, José Antonio (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 ... -
Using a Mathematical Programming Modeling Language for Optimal CTA
Castro Pérez, Jordi; Baena, Daniel (Springer Berlin / Heidelberg, 2008-09-30)
Capítol de llibre
Accés restringit per política de l'editorialMinimum-distance controlled tabular adjustment methods (CTA) have been formulated as an alternative to the cell suppression problem (CSP) for tabular data. CTA formulates an optimization problem with fewer variables and ...