Method and apparatus for determining data linkage confidence levels
US11734700B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2023 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Jan 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This application relates to apparatus and methods for determining confidence levels in associated data using machine learning algorithms. In some examples, a computing device may generate training graph data where each training graph connects at least two nodes by an edge, and each node represents data. The computing device may train a machine learning algorithm based on the generated training data. The computing device may then receive linked data, which associates at least two nodes, each representing data, with each other. The computing device may generate graph data based on the linking data, to provide to the machine learning algorithm as input. The computing device may then execute the machine learning algorithm on the generated graph data to generate values for each of its edges. The values may identify, for each edge, a confidence level in the connection between the two nodes for that edge.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.