Controlled Rounding of Tabular Data
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DOI: 10.1287/opre.38.5.760
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Cited by:
- George, John A. & Kuan, Chong Juin & Ring, Brendan J., 1995. "Confidentiality control of tabulated data: Some practical network models," European Journal of Operational Research, Elsevier, vol. 85(3), pages 454-472, September.
- Juan-José Salazar-González, 2005. "A Unified Mathematical Programming Framework for Different Statistical Disclosure Limitation Methods," Operations Research, INFORMS, vol. 53(5), pages 819-829, October.
- Sage, Andrew J. & Wright, Stephen E., 2016. "Obtaining cell counts for contingency tables from rounded conditional frequencies," European Journal of Operational Research, Elsevier, vol. 250(1), pages 91-100.
- Sumit Dutta Chowdhury & George T. Duncan & Ramayya Krishnan & Stephen F. Roehrig & Sumitra Mukherjee, 1999. "Disclosure Detection in Multivariate Categorical Databases: Auditing Confidentiality Protection Through Two New Matrix Operators," Management Science, INFORMS, vol. 45(12), pages 1710-1723, December.
- Castro, Jordi, 2006. "Minimum-distance controlled perturbation methods for large-scale tabular data protection," European Journal of Operational Research, Elsevier, vol. 171(1), pages 39-52, May.
- Ring, Brendan J. & George, John A. & Kuan, Chong Juin, 1997. "A fast algorithm for large-scale controlled rounding of 3-dimensional census tables," Socio-Economic Planning Sciences, Elsevier, vol. 31(1), pages 41-55, March.
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Keywords
programming; integer; algorithms; heuristics: LP guided search; programming; integer; applications: controlled rounding; statistics; censoring: data perturbation methods;All these keywords.
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