Minimum-distance controlled perturbation methods for large-scale tabular data protection

DOI10.1016/j.ejor.2004.08.034zbMath1091.90088OpenAlexW2161248223MaRDI QIDQ2576244

Jordi Castro

Publication date: 27 December 2005

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2004.08.034

zbMATH Keywords

linear programmingquadratic programminginterior-point methodsstatistical disclosure controlstatistical confidentialitycontrolled tabular adjustment

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Quadratic programming (90C20) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Interior-point methods (90C51) Graphical methods in statistics (62A09)

Related Items (13)

Preemptive benchmarking problem: An approach for official statistics in small areas ⋮ Obtaining cell counts for contingency tables from rounded conditional frequencies ⋮ An interior-point approach for primal block-angular problems ⋮ Enhanced controlled tabular adjustment ⋮ Rapid calculation of exact cell bounds for contingency tables from conditional frequencies ⋮ Fix-and-relax approaches for controlled tabular adjustment ⋮ Perspective Reformulations of the CTA Problem with L₂ Distances ⋮ ON ASSESSING THE DISCLOSURE RISK OF CONTROLLED ADJUSTMENT METHODS FOR STATISTICAL TABULAR DATA ⋮ Recent advances in optimization techniques for statistical tabular data protection ⋮ Solving \( L_1\)-CTA in 3D tables by an interior-point method for primal block-angular problems ⋮ A linear optimization-based method for data privacy in statistical tabular data ⋮ A heuristic block coordinate descent approach for controlled tabular adjustment ⋮ Improving an interior-point approach for large block-angular problems by hybrid preconditioners

Uses Software

• AMPL
• CPLEX
• IPM

Cites Work

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• An approach to nonlinear programming
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• Network Models for Complementary Cell Suppression
• Controlled Rounding of Tabular Data
• Solving Real-World Linear Programs: A Decade and More of Progress
• Controlled Rounding
• Cell suppression: Disclosure protection for sensitive tabular data
• Using Simulated Annealing to Solve Controlled Rounding Problems
• Statistical disclosure in general three‐dimensional tables
• Statistical Disclosure in Two-Dimensional Tables: General Tables
• A Specialized Interior-Point Algorithm for Multicommodity Network Flows
• A CRITIQUE OF THE SENSITIVITY RULES USUALLY EMPLOYED FOR STATISTICAL TABLE PROTECTION
• Matrix Rounding Problems

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