Anomaly detection based on relationships between multiple time series
US10375098B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Jan 31, 2017 |
| Grant date | Aug 6, 2019 |
| Priority date | — |
| Expiry date | Sep 18, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some implementations, sequences of time series values determined from machine data are obtained. Each sequence corresponds to a respective time series. A plurality of predictive models is generated for a first time series from the sequences of time series values. Each predictive model is to generate predicted values associated with the first time series using values of a second time series. For each of the plurality of predictive models, an error is determined between the corresponding predicted values and values associated with the first time series. A predictive model is selected for anomaly detection based on the determined error of the predictive model. Transmission is caused of an indication of an anomaly detected using the selected predictive model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.