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Title:
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A tool for analyzing and fixing infeasible RCTA instances
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Author:
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Castro Pérez, Jordi; González Alastrué, José Antonio
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Universitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització |
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Abstract:
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Minimum-distance controlled tabular adjustment methods (CTA), and its restricted variants (RCTA), is a recent perturbative approach for tabular data protection. Given a table to be protected, the purpose of RCTA is to find the closest table that guarantees protection levels for the sensitive cells. This is achieved by adding slight adjustments
to the remaining cells, possibly excluding a subset of them (usually, the total cells) which preserve their original values. If either protection levels are large, or the bounds for cell deviations are tight, or too many cell values have to be preserved, the resulting mixed integer linear problem may be reported as infeasible. This work describes a tool developed for analyzing infeasible instances. The tool is based on a general elastic programming approach, which considers an artificial problem obtained by relaxing constraints and bounds through the addition of extra elastic variables. The tool allows selecting the subset of constraints and bounds to be relaxed, such that an elastic filter method can be applied for isolating a subset of infeasible table relations, protection levels, and cell
bounds. Some computational experiments are reported using real-world instances. |
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Subject(s):
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-Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització
-Elastic
-System theory
-Statistical disclosure control
Controlled tabular adjustment
Mixed integer linear programming
Infeasibility in optimization
Elastic constraints
Elastic filter
-Classificació AMS::93 Systems Theory; Control::93A General |
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Rights:
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Document type:
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Article - Published version
Article |
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