Generating synthetic time series datasets having anomalies
US12411860B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 22, 2023 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Nov 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/214
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are described herein for facilitating generation of synthetic datasets having anomalies. The system may receive a command to generate a synthetic time series dataset. The system may generate data points for components of the synthetic dataset, the components including a seasonality function, a trend function, and a noise function. The system may determine minimum and maximum changes relative to the variance of the noise data points. The system may generate anomalies by replacing values of one or more noise data points with values between the minimum and maximum changes. The system may then generate the synthetic time series dataset having anomalies by combining the seasonality data points, the trend data points, and the noise data points into corresponding time slots of the synthetic time series dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.