Automatic machine learning data modeling in a low-latency data access and analysis system
US11928086B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 3, 2021 |
| Grant date | Mar 12, 2024 |
| Priority date | — |
| Expiry date | Mar 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Automatic data modeling in a low-latency data access and analysis system 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.