Anomaly detection in dynamically evolving data and systems
US10333953B1 · kind B1 · utility
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20Claims
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Key dates
| Filing date | Dec 10, 2017 |
| Grant date | Jun 25, 2019 |
| Priority date | — |
| Expiry date | Dec 10, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/145
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Detection of abnormalities in multi-dimensional data is performed by processing the multi-dimensional data to obtain a reduced dimension embedding matrix, using the reduced dimension embedding matrix to form a lower dimension (of at least 2D) embedded space, applying an out-of-sample extension procedure in the embedded space to compute coordinates of a newly arrived data point and using the computed coordinates of the newly arrived data point and Euclidean distances to determine whether the newly arrived data point is normal or abnormal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.