Detecting anomalous entities
US10592666B2 · kind B2 · utility
3Cited by
6References
21Claims
0Family size
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Key dates
| Filing date | Aug 31, 2017 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Dec 24, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some examples, a system extracts features from event data representing events in a computing environment, trains ensembles of machine-learning models for respective analytics modules of a plurality of different types of analytics modules, and detects, by the different types of analytics modules using the respective trained ensembles of machine-learning models, an anomalous entity in response to further event data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.