Data type recognition, model training and risk recognition methods, apparatuses and devices
US11113394B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 18, 2019 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Jun 18, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Data type recognition and model training methods and apparatuses, and computer devices are provided. The model training method includes acquiring a first sample data set, and using the first sample data set to train an anomaly detection model; and detecting an abnormal sample data set from a second sample data set by means of the anomaly detection model, and using the abnormal sample data set to train a classification model. By using this method, an amount of scoring events of the classification model can be reduced, and relatively balanced sample data sets can also be provided for training, to obtain the classification model with a higher accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.