Data generalization for predictive models
US11281728B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 6, 2019 |
| Grant date | Mar 22, 2022 |
| Priority date | — |
| Expiry date | Nov 25, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/23
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, apparatus and a product for data generalization for predictive models. The method comprising: based on a labeled dataset, determining a plurality of buckets, each of which has an associated label; determining a plurality of clusters, grouping similar instances in the same bucket; based on the plurality of clusters, determining an alternative set of features comprising a set of generalized features, wherein each generalized feature corresponds to a cluster of the plurality of clusters, wherein a generalized feature that corresponds to a cluster is indicative of the instance being mapped to the corresponding cluster; obtaining a second instance; determining a generalized second instance that comprises a valuation of the alternative set of features for the second instance; and based on the generalized second instance, determining a label for the second instance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.