Interactive feature engineering in automatic machine learning with domain knowledge
US12412102B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 11, 2021 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Apr 29, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A dataset including features and values associated with the features can be received. Each of the features in the dataset can be mapped to a corresponding node in a knowledge graph based on the concept represented by the corresponding node. The knowledge graph can be traversed to find a candidate node connected to at least one mapped node, the candidate node not being mapped to a feature in the dataset. A concept associated with the candidate node can be identified as a new feature. A machine learning model pipeline can use the features in the dataset and the new feature to select a subset of features for training a machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.