Intelligent scoring of missing data records
US12346784B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 16, 2020 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Oct 24, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One or more computer processors group a plurality of predictors contained in training data into a plurality of predictor groups. The one or more computer processors create a plurality of sample sets, wherein each sample set in the plurality of sample sets contains one or more predictors selected from a respective predictor group in the plurality of predictor groups. The one or more computer processors create a cluster model for each created sample set in the plurality of created sample sets. The one or more computer processors generate a score for a record with one or more missing values utilizing at least one created cluster model of the created cluster models and at least one created sample set of the created sample sets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.