The data anonymiser

Non-parametric approaches anonymise datasets while reproducing their statistical properties

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Alexei Kondratyev, Christian Schwarz and Blanka Horvath propose a novel approach to the anonymisation of datasets through non-parametric learning of the underlying multivariate distribution of dataset features and generation of the new synthetic samples from the learned distribution. The main objective is to ensure equal (or better) performance of the classifiers and regressors trained on synthetic datasets in comparison with the same classifiers and regressors

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