Abstract
Current network flows heuristics for cell suppression in positive tables (i.e, cell values are greater or equal than zero) rely on the solution of several minimum-cost subproblems. A very efficient heuristic based on shortest-paths was also developed in the past, but it was only appropriate for general tables (i.e., cell values can be either positive or negative), whereas in practice most real tables are positive. The method presented in this work overcomes the lacks of previous approaches: it is designed for positive tables and only requires the solution of shortest-paths subproblems. It follows that it is orders of magnitude faster than previous network flows heuristics. We report an extensive computational experience in the solution of two-dimensional tables, either with or without hierarchical rows, of up to 250000 and 500000 cells, respectively.
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References
Ahuja, R.K., Magnanti, T.L., Orlin, J.B.: Network Flows. Prentice-Hall, Englewood Cliffs (1993)
Carvalho, F.D., Dellaert, N.P., Osório, M.D.: Statistical disclosure in twodimensional tables: general tables. J. Am. Stat. Assoc. 89, 1547–1557 (1994)
Castro, J.: Network flows heuristics for complementary cell suppression: an empirical evaluation and extensions. In: Domingo-Ferrer, J. (ed.) Inference Control in Statistical Databases. LNCS, vol. 2316, pp. 59–73. Springer, Heidelberg (2002)
Cox, L.H.: Network models for complementary cell suppression. J. Am. Stat. Assoc. 90, 1453–1462 (1995)
Fischetti, M., Salazar, J.J.: Models and algorithms for optimizing cell suppression in tabular data with linear constraints. J. Am. Stat. Assoc. 95, 916–928 (2000)
Giessing, S.: New tools for cell-suppression in τ-Argus: one piece of the CASC project work draft. In: Joint ECE/Eurostat Work Session on Statistical Data Confidentiality, Skopje (2001)
Giessing, S., Repsilber, D.: Tools and strategies to protect multiples tables with the GHQUAR cell suppression engine. In: Domingo-Ferrer, J. (ed.) Inference Control in Statistical Databases. LNCS, vol. 2316, pp. 181–192. Springer, Heidelberg (2002)
Hundepool, A.: The CASC project. In: Domingo-Ferrer, J. (ed.) Inference Control in Statistical Databases. LNCS, vol. 2316, pp. 172–180. Springer, Heidelberg (2002)
ILOG CPLEX: ILOG CPLEX 7.5 Reference Manual Library. ILOG (2001)
Jewett, R.: Disclosure analysis for the 1992 Economic Census. Manuscript, Economic Programming Division, Bureau of the Census (1993)
Kelly, J.P., Golden, B.L., Assad, A.A.: Cell Suppression: disclosure protection for sensitive tabular data. Networks 22, 28–55 (1992)
Mas, M.: Test report on network solution for large unstructured 2 dimensional tables in τ–Argus 2.2.2. CASC Project Deliverable 6-D6. Basque Statistics Office (2003)
Robertson, D.: Improving Statistic’s Canada cell suppression software (CONFID). In: Proceedings of Compstat 2000 (2000)
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Castro, J. (2004). A Fast Network Flows Heuristic for Cell Suppression in Positive Tables. In: Domingo-Ferrer, J., Torra, V. (eds) Privacy in Statistical Databases. PSD 2004. Lecture Notes in Computer Science, vol 3050. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25955-8_11
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DOI: https://doi.org/10.1007/978-3-540-25955-8_11
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