System and method for anomaly detection in dynamically evolving data using low rank matrix decomposition
US10509695B1 · kind B1 · utility
7Cited by
5References
20Claims
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Key dates
| Filing date | Mar 30, 2016 |
| Grant date | Dec 17, 2019 |
| Priority date | — |
| Expiry date | Dec 15, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/0787
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Detection of abnormalities in HDBD is performed by processing it to obtain a dictionary from a training data. This is done by computing a low rank randomized LU decomposition which enables constant online updating of the training data and thus gets constant updating of the normal profile in the background.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.