Balancing quality and confidentiality for multivariate tabular data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3050, Issue , 2004, Pages 87-98

  Cox, Lawrence H ^a   Kelly, James P ^b   Patil, Rahul ^b  

^a NATIONAL CENTER FOR HEALTH STATISTICS   (United States)

^b OptTek Systems Inc   (United States)

Author keywords

Controlled tabular adjustment; Covariance; Linear programming

Indexed keywords

LINEAR PROGRAMMING; MATHEMATICAL PROGRAMMING;

ANALYTICAL PROPERTIES; COMPUTATIONAL SPEED; CONSTRAINT SATISFACTION; CONTROLLED TABULAR ADJUSTMENT; COVARIANCE; REASONABLE ACCURACY; REGRESSION COEFFICIENT; STATISTICAL DISCLOSURE LIMITATIONS;

STATISTICS;

EID: 35048868331     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-25955-8_7     Document Type: Article

References (11)

1. Cox, L.H.: Suppression Methodology and Statistical Disclosure Control. Journal of the American Statistical Association. 75(1980) 377-385
2. Fellegi, I.P.: On the Question of Statistical Confidentiality. Journal of the American Statistical Association. 67 (1972) 7-18
3. Dandekar, R.A., Cox, L.H.: Synthetic Tabular Data: An Alternative to Complementary Cell Suppression. (2002) (manuscript)
4. U.S. Department of Commerce.: Statistical Disclosure and Disclosure Limitation Methods, Statistical Policy Working Paper 22, Washington, DC: Federal. Committee on Statistical Methodology.(1994)
5. Cox, L.H.: Network Models for Complementary Cell Suppression. Journal of the American Statistical Association. 90(1995) 1153-1162.
6. Cox, L.H., Dandekar, R.A.: A New Disclosure Limitation Method for Tabular Data that Preserves Data Accuracy and Ease of Use. Proceedings of the 2002 FCSM Statistical Policy Seminar, Washington, DC: U.S. Office of Management and Budget (2003) (in press).
7. Cox, L.H., Kelly, J. P.: Balancing Data Quality and Confidentiality for Tabular Data. Proceedings of the UNECE/Eurostat Work Session on Statistical Data Confidentiality, Luxembourg, 7-9 April 2003, Monographs of Official Statistics. Luxembourg: Eurostat (in press)
8. Glover, F., Laguna, M.: Tabu Search. Kluwer Academic, Amsterdam (1997)
9. Fischetti, M., Salazar-Gonzalez, J.J.: Models and Algorithms for Optimizing Cell Suppression in Tabular Data with Linear Constraints. Journal of the American Statistical Association. 95 (2000) 916-928.
10. Cox, L.H.: Discussion. ICES II: The Second International Conference on Establishment Surveys: Survey Methods for Businesses, Farms and Institutions. Alexandria, VA: American Statistical Association. (2000) 905-907.
11. Cox, L.H., Kelly, J. P.: Controlled Tabular Adjustment: An Empirical Study of Heuristic and Optimal Methods. (2004) (submitted).