Central Data Catalog

Citation Information

Type Journal Article - Mathematical Problems of Computer Science
Title Pair Correlations Preserving Model in Synthetic Data Generation
Author(s)
Volume 41
Publication (Day/Month/Year) 2014
Page numbers 81-92
URL http://mpcs.sci.am/filesimages/volumes/volume_41/9.pdf
Abstract
The risk of disclosure of confidential information increases by the
statistical organizations, due to the large volume of data released to the
public. The most common methods of limitng the risk of dicloure are
synthetic data genaretion methods. Unfortunately, these methods have a
heuristic nature, because they do not have a clear theoretical basis. In this
work presented a formal model of synthetic data generation for pair
corelation preservation

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