Hybrid clustered prediction computer modeling
US12197541B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 6, 2023 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Jan 6, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0202
- 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. A server retrieves a set of nodes and generates a primary prediction model using data aggregated based on all nodes. The server then executes various clustering algorithms in order to segment the nodes into different clusters. The server then generates a secondary (corrective) prediction model to calculate a correction needed to improve the results achieved by executing the primary prediction model for each cluster. When a node with unknown/limited data and attributes is identified, the server identifies a cluster most similar the new node and further identifies a corresponding secondary prediction model. The server then executes the primary prediction model in conjunction with the identified secondary prediction model to populate a graphical user interface with an accurate predicted future attribute for the new node.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.