Combination of techniques to detect anomalies in multi-dimensional time series
US11036715B2 · kind B2 · utility
2Cited by
7References
20Claims
0Family size
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Key dates
| Filing date | Jan 29, 2018 |
| Grant date | Jun 15, 2021 |
| Priority date | — |
| Expiry date | May 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F17/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, apparatuses, and computer program products are described herein that enable detecting anomalies in time series. An anomaly detection technique is selected from a plurality of detection techniques, and is applied to a first time-series data set (having a first set of dimensions). In response to detecting an anomaly in the time-series data set, the anomaly detection technique is applied to a second time-series data set that is a subset of the first time-series data set. The first time-series data set includes the first set of dimensions plus one or more additional dimensions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.