Utilizing neural network and machine learning models to generate a query after migrating data from a source data structure to a target data structure
US11520784B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 25, 2019 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Oct 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device may receive source code from a source data structure, and may receive information associated with a target data structure. The device may analyze the source code to extract statements, and may utilize natural language processing on the statements to identify functions and keywords associated with the source data structure. The device may train a machine learning model with the functions and the keywords to generate a trained machine learning model, and may process the information associated with the target data structure, with the trained machine learning model, to transform a source query to a target query compatible with the target data structure. The device may process the target query, with a neural network model, to generate an optimized target query, and may cause data from the source data structure to be migrated to the target data structure based on the optimized target query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.