A data quality and data confidentiality assessment of complementary cell suppression

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

Volumn 5262 LNCS, Issue , 2008, Pages 13-23

  Cox, Lawrence H ^a  

^a NATIONAL CENTER FOR HEALTH STATISTICS   (United States)

Author keywords

Alternating cycle; P q ambiguity rule; Releasing exact intervals

Indexed keywords

CYTOLOGY; DATA PRIVACY;

ALTERNATING CYCLE; CELL SUPPRESSION; DATA CONFIDENTIALITY; DATA QUALITY; DISCLOSURE LIMITATIONS; MAGNITUDE DATA; P/Q-AMBIGUITY RULE; RELEASING EXACT INTERVALS;

CELLS;

EID: 56749170584     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87471-3_2     Document Type: Conference Paper

References (7)

1. Cox, L.H.: Linear sensitivity measures in statistical disclosure control. Journal of Statistical Planning and Inference 5, 153-164 (1981)
2. Cox, L.H.: Suppression methodology and statistical disclosure control. Journal of the American Statistical Association 75, 377-385 (1980)
3. Cox, L.H.: Network models for complementary cell suppression. Journal of the American Statistical Association 90, 1453-1462 (1995)
4. Fischetti, M., Salazar, J.J.: Solving the cell suppression problem on tabular data with linear constraints. Management Science 47(7), 1008-1026 (2001)
5. Fischetti, M., Salazar, J.J.: Partial cell suppression: a new methodology for statistical disclosure control. Statistics and Computing 13, 13-21 (2003)
6. Salazar, J.J.: A unified mathematical programming framework for different statistical disclosure limitation methods. Operations Research 53, 819-829 (2005)
7. Cox, L.H., Kelly, J.P., Patil, R.: Balancing quality and confidentiality for multivariate tabular data. In: Domingo-Ferrer, J., Torra, V. (eds.) PSD 2004. LNCS, vol. 3050, pp. 87-98. Springer, Heidelberg (2004)