Real-time anomaly detection and correlation of time-series data
US11275639B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 2, 2020 |
| Grant date | Mar 15, 2022 |
| Priority date | — |
| Expiry date | Mar 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides systems and methods for detecting and correlating anomalous time-series data. A system may receive and process time-series data associated with one or more network data streams to generate sets of aligned time-series data. The system may detect anomalous time-stamped data points in the sets of aligned time series data and generate groups of annotated time-series data. The annotation identifies specific time-stamped data points as anomalous. The system may determine the number of anomalous groups of annotated time-series data within all groups of annotated time-series data and may further determine the probability that one or more anomalous groups belong to at least one of the groups of annotated time-series data using a generative statistical model and outputting one or more correlated anomalous groups. The system may generate a detailed statistical report for each correlated anomalous group and output an aggregated statistical report for the correlated groups.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.