Hybrid clustered prediction computer modeling
US11443203B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 22, 2019 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | Mar 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are systems and methods to efficiently execute predictions models to identify future values associated with various nodes. The systems and methods described herein retrieve a set of nodes and execute various clustering algorithms in order to segment the nodes into different clusters. The systems and methods described herein also describe generating one or more prediction models, such as time-series models, for each cluster of nodes. When a node with unknown/limited data and attributes is identified, the methods and systems described herein first identify a cluster most similar the new node, identify a corresponding prediction model, and execute the identified prediction model to calculate future attribute of the new node.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.