System and method for anomaly detection in dynamically evolving data using random neural network decomposition
US11049004B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 11, 2016 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | Mar 13, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Detection systems, methods and computer program products comprising a non-transitory tangible storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method for anomaly detection, a detected anomaly being indicative of an undesirable event. A detection system comprises a computer and an anomaly detection engine executable by the computer, the anomaly detection engine configured to perform a method comprising receiving data comprising a plurality m of multidimensional data points (MDDPs), each data point having n features, constructing a dictionary D based on the received data, embedding dictionary D into a lower dimension embedded space and classifying, based in the lower dimension embedded space, a MDDP as an anomaly or as normal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.