US 2020/0272422 A1 · SYNTHETIC DATA GENERATION APPARATUS, METHOD FOR THE SAME, AND PROGRAM

Abstract

A synthetic data generation apparatus includes: a random number generating unit that generates first synthetic data with a ratio of a frequency distribution of each attribute being approximate to the ratio of the frequency distribution of that attribute in target data for which synthetic data is to be generated; and a data formatting unit that formats the first synthetic data using a matrix given by Cholesky decomposition of a variance-covariance matrix of the target data or a scaling matrix given by singular value decomposition of the variance-covariance matrix of the target data such that a mean vector and a correlation matrix of the first synthetic data agree with a mean vector and a correlation matrix of the target data and that a minimum and a maximum of the first synthetic data are present in ranges of a minimum and a maximum of the target data, and provides the first synthetic data after formatting as synthetic data.

Claims9

Dependent claims

A synthetic data generation apparatus comprising:

a random number generating unit that generates first synthetic data with a ratio of a frequency distribution of each attribute being approximate to the ratio of the frequency distribution of that attribute in target data for which synthetic data is to be generated;
and
a data formatting unit that formats the first synthetic data using a matrix given by Cholesky decomposition of a variance-covariance matrix of the target data or a scaling matrix given by singular value decomposition of the variance-covariance matrix of the target data such that a mean vector and a correlation matrix of the first synthetic data agree with a mean vector and a correlation matrix of the target data and that a minimum and a maximum of the first synthetic data are present in ranges of a minimum and a maximum of the target data, and provides the first synthetic data after formatting as synthetic data.

A synthetic data generation method for execution by a synthetic data generation apparatus, the synthetic data generation method comprising:

a random number generating step of generating first synthetic data with a ratio of a frequency distribution of each attribute being approximate to the ratio of the frequency distribution of that attribute in target data for which synthetic data is to be generated;
and
a data formatting step of formatting the first synthetic data using a matrix given by Cholesky decomposition of a variance-covariance matrix of the target data or a scaling matrix given by singular value decomposition of the variance-covariance matrix of the target data such that a mean vector and a correlation matrix of the first synthetic data agree with a mean vector and a correlation matrix of the target data and that a minimum and a maximum of the first synthetic data are present in ranges of a minimum and a maximum of the target data, and providing the first synthetic data after formatting as synthetic data.

Dependencies are inferred from the claim text.

Synthetic data generation apparatus, method for the same, and program

Life of this patent

Synthetic data generation apparatus, method for the same, and program

Life of this patent

Abstract

Claims9