Holo-entropy adaptive boosting based anomaly detection
US11620180B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 29, 2018 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Nov 27, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/14
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for determining whether data is anomalous includes generating a holo-entropy adaptive boosting model using, at least in part, a set of normal data. The holo-entropy adaptive boosting model includes a plurality of holo-entropy models and associated model weights for combining outputs of the plurality of holo-entropy models. The method further includes receiving additional data, and determining at least one of whether the additional data is normal or abnormal relative to the set of normal data or a score indicative of how abnormal the additional data is using, at least in part, the generated holo-entropy adaptive boosting model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.