Fast generation of accurate synthetic micro data

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Abstract

Generation of a synthetic microdata set that reproduces the statistical properties of an original microdata set is a promising approach to statistical disclosure control (SDC) of microdata. In this paper, a new method for generating continuous synthetic microdata is proposed. The covariance matrix and the univariate statistics of the original data set are exactly preserved. The method is non-iterative and its complexity grows linearly with the number of records to be protected. © Springer-Verlag 2004.

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Mateo-Sanz, J. M., Martínez-Ballesté, A., & Domingo-Ferrer, J. (2004). Fast generation of accurate synthetic micro data. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3050, 298–306. https://doi.org/10.1007/978-3-540-25955-8_24

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