| 发明名称 |
SYNTHETIC TIME SERIES DATA GENERATION |
| 摘要 |
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. |
| 申请公布号 |
US2014325251(A1) |
申请公布日期 |
2014.10.30 |
| 申请号 |
US201313874221 |
申请日期 |
2013.04.30 |
| 申请人 |
HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. |
发明人 |
MARWAH Manish;Arlitt Martin;Shah Amip J.;Bash Cullen E. |
| 分类号 |
G06F1/14 |
主分类号 |
G06F1/14 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method for synthetic time series data generation, the method comprising:
receiving time series data for a plurality of users; 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, wherein m<n; using the transformed time series data to estimate a time series data density in the low dimensional space m by generating a density function; sampling data from the density function; and transforming, by a processor, the sampled data back to the high dimensional space n to generate the synthetic time series data. |
| 地址 |
Houston TX US |
