Automatic classification of data sensitivity through machine learning
US11809980B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 28, 2023 |
| Grant date | Nov 7, 2023 |
| Priority date | — |
| Expiry date | Apr 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the present disclosure provide techniques for automated data classification through machine learning. Embodiments include providing first inputs to a first machine learning model based on a column header of a column from a table and receiving a first output from the first machine learning model in response to the first inputs, wherein the first output indicates a first likelihood that the column relates to a given classification. Embodiments include providing second inputs to a second machine learning model based on a value from the column and receiving a second output from the second machine learning model in response to the second inputs, wherein the second output indicates a second likelihood that the value relates to the given classification. Embodiments include determining whether to associate the value with the given classification based on the first output and the second output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.