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Volumn 105, Issue 2-3, 2006, Pages 583-603

Controlled rounding and cell perturbation: Statistical disclosure limitation methods for tabular data

Author keywords

Controlled rounding; Integer linear Programming; Statistical disclosure Control

Indexed keywords

COMPUTATION THEORY; CONTROL SYSTEMS; LINEAR PROGRAMMING;

EID: 29044443601     PISSN: 00255610     EISSN: 14364646     Source Type: Journal    
DOI: 10.1007/s10107-005-0666-4     Document Type: Article
Times cited : (15)

References (15)
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    • Controlled rounding
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    • Dandekar, R.A.: Maximum Utility-Minimum Information Loss Table Server Design for Statistical Disclosure Control of Tabular Data. In: Domingo-Ferrer, J. (ed.), Privacy in Statistical Databases. Lecture Notes in Computer Science 3050, Springer, 2004, pp. 121-135
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    • Dandekar, R.A.1
  • 7
    • 27344440294 scopus 로고    scopus 로고
    • Computational experience with the controlled rounding problem in statistical disclosure control
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    • Fischetti, M.1    Salazar, J.J.2
  • 8
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    • Solving the cell suppression problem on tabular data with linear constraints
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  • 9
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    • Partial cell suppression: A new methodology for statistical disclosure control
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    • Fischetti, M.1    Salazar, J.J.2
  • 10
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    • Jewett, R.: Disclosure Analysis for the 1992 Economic Census. Internal report, U.S. Bureau of the Census, Washington, 1993
  • 11
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    • Using simulated annealing to solve controlled rounding problems
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  • 13
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    • Salazar, J. J.: Controlled Rounding and Cell Perturbation: technical details. Internal report, University of La Laguna, Tenerife, 2004
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    • Automated Cell Suppression to preserve confidentiality of business statistics
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.