Missing value imputation for predictive models
US9443194B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 12, 2012 |
| Grant date | Sep 13, 2016 |
| Priority date | — |
| Expiry date | Jul 16, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are techniques for imputing a missing value for each of one or more predictor variables. Data is received from one or more data sources. For each of the one or more predictor variables, an imputation model is built based on information of a target variable; a type of imputation model to construct is determined based on the one or more data sources, a measurement level of the predictor variable, and a measurement level of the target variable; and the determined type of imputation model is constructed using basic statistics of the predictor variable and the target variable. The missing value is imputed for each of the one or more predictor variables using the data from the one or more data sources and one or more built imputation models to generate a completed data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.