Synthetic time series data generation
US9292040B2 · kind B2 · utility
3Cited by
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15Claims
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Key dates
| Filing date | Apr 30, 2013 |
| Grant date | Mar 22, 2016 |
| Priority date | — |
| Expiry date | Mar 13, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/1091
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to an example, synthetic time series data generation may include receiving time series data for a plurality of users, and applying dimensionality reduction to transform the time series data from a high dimensional space n of the time series data to a low dimensional space m, where m<n. The transformed time series data may be used to estimate a time series data density in the low dimensional space m by generating a density function. The density function may be sampled for data, and the sampled data may be transformed back to the high dimensional space n to generate the synthetic time series data.
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