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A Polynomial Algorithm for Optimal Univariate Microaggregation
July/August 2003 (vol. 15 no. 4)
pp. 1043-1044
Stephen Lee Hansen, IEEE Computer Society

Abstract—Microaggregation is a technique used by statistical agencies to limit disclosure of sensitive microdata. Noting that no polynomial algorithms are known to microaggregate optimally, Domingo-Ferrer and Mateo-Sanz have presented heuristic microaggregation methods. This paper is the first to present an efficient polynomial algorithm for optimal univariate microaggregation. Optimal partitions are shown to correspond to shortest paths in a network.

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Index Terms:
Statistical databases, microdata protection, microaggregation, clustering, shortest path, information loss.
Citation:
Stephen Lee Hansen, Sumitra Mukherjee, "A Polynomial Algorithm for Optimal Univariate Microaggregation," IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 4, pp. 1043-1044, July-Aug. 2003, doi:10.1109/TKDE.2003.1209020
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