Computer system and method for creating and deploying an anomaly detection model based on streaming data
US10579932B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 10, 2018 |
| Grant date | Mar 3, 2020 |
| Priority date | — |
| Expiry date | Jul 14, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computing system may operate in a first mode during which it calculates a set of training metrics on a running basis as a stream of multivariate data points originating from a data source is being received. While operating in the first mode, the computing system may determine that the set of training metrics has reached a threshold level of stability. In response, the computing system may transition to a second mode during which its extracts a model object and calculates a set of model parameters for an anomaly detection model. While operating in the second mode, the computing system may determine that the set of model parameters has reached a threshold level of stability. In response, the computing system may transition to a third mode during which it uses the anomaly detection model to monitor for anomalies in the stream of multivariate data points originating from the data source.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.