System and method for anomaly detection in dynamically evolving data using hybrid decomposition
US10419470B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 25, 2018 |
| Grant date | Sep 17, 2019 |
| Priority date | — |
| Expiry date | Nov 25, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/145
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A computer program product for performing anomaly detection, a detected anomaly being indicative of an undesirable event, the computer program product 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 comprising receiving data comprising a plurality m of multidimensional datapoints (MDDPs), each data point having n features, constructing a dictionary D based on the received data, embedding dictionary D into a reduced dimension embedded space and classifying, based in the reduced dimension embedded space, an MDDP as an anomaly or as normal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.