Predictive data analytics with automatic feature extraction
US12159231B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 4, 2018 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Jan 24, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/041
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is a need for solutions that predictive data analytics with improved training efficiency and/or accuracy. This need can be addressed by, for example, processing an original feature entry to generate a group of low-order feature values, including performing a first number of iterations of a feature engineering transformation to generate a group of engineered feature values and determining the group of low-ordered feature values based on a number of feature values from the group of engineered feature values; processing the original feature entry to generate a group of high-order feature values; merging the group of low-order feature values and the group of high-order feature values to generate a processed feature entry corresponding to the original feature entry; and providing the processed feature entry as an input to a prediction unit.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.