Knowledge aided feature engineering
US11599826B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 13, 2020 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | Apr 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3692
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments relate to a system, program product, and method for employing feature engineering to improve classifier performance. A first machine learning (ML) model with a first learning program is selected. The first selected ML model is operatively associated with a first structured dataset. First features in the first dataset directed at performance of the selected ML model are identified. A second structured dataset is assessed with respect to the identified features in the first dataset, and new features in the second dataset are identified, where the new features are semantically related to the identified features in the first dataset. The first dataset is dynamically augmented with the identified new features in the second dataset. The dynamically augmented first dataset is applied to the selected ML model to subject an embedded learning algorithm of the selected ML model to training using the augmented first dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.