Automatic machine learning data modeling in a low-latency data access and analysis system
US12393559B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 8, 2024 |
| Grant date | Aug 19, 2025 |
| Priority date | — |
| Expiry date | Mar 8, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Automatic data modeling in includes identifying an analytical object in response to first data expressing usage intent, generating an analytical model generation data query for the analytical object, obtaining a trained analytical model generated in accordance with the analytical model generation query and trained using results data obtained in accordance with the analytical object, generating a resolved request representing second data expressing usage intent and indicating a request for results data obtained using the trained analytical model, generating an analytical model results data query for obtaining the results data in accordance with the trained analytical model and the analytical object, and outputting data for presenting a visualization of the results data obtained by executing the analytical model results data query, wherein a first portion of the results data corresponds with the analytical object and a second portion of the results data corresponds with the trained analytical model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.