Anomaly detection for time series data
US12332764B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2023 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Oct 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3495
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for anomaly detection for a time series data is provided. Aspects include receiving a time series data including a plurality of sequential data points, calculating an expected next value for the time series data based on the plurality of sequential data points, and receiving an actual next value corresponding to the time series data. Aspects also include calculating an anomaly strength estimate based on the expected next value and the actual next value, identifying one of a plurality of anomaly detection pipelines based on the anomaly strength estimate and a portrait associated with each of the plurality of anomaly detection pipelines, and obtaining an anomaly prediction by inputting the time series data and the actual next value into the one of the plurality of anomaly detection pipelines.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.