Modeling higher-level metrics from graph data derived from already-collected but not yet connected data
US11822603B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2022 |
| Grant date | Nov 21, 2023 |
| Priority date | — |
| Expiry date | Jul 12, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/41
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for modeling higher-level metrics from graph data derived from already-collected but not yet connected data are disclosed. A method includes extracting a first set of actor-related data, a second set of object-related data, and a third set of temporal data from the set of the already-collected but not yet connected data representative of a unit-level contribution to the target activity. The method further includes generating graph data for a graph using the set of the already-collected but not yet connected data, where each of the plurality of nodes of the graph corresponds to the actor or the object, and where an attribute associated with each of the plurality of edges of the graph corresponds to a measurement associated with the target activity. The method further includes modeling a relationship between graph attributes associated with the graph data and a higher-level metric associated with the target activity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.