发明名称 |
Identifying optimal multi-scale patterns in time-series streams |
摘要 |
A computer-implemented method, system, and a computer readable article of manufacture identify local patterns in at least one time series data stream. A data stream is received that comprises at least one set of time series data. The at least one set of time series data is formed into a set of multiple ordered levels of time series data. Multiple ordered levels of hierarchical approximation functions are generated directly from the multiple ordered levels of time series data. A set of approximating functions are created for each level. A current window with a current window length is selected from a set of varying window lengths. The set of approximating functions created at one level in the multiple ordered levels is passed to a subsequent level as a set of time series data. The multiple ordered levels of hierarchical approximation functions are stored into memory after being generated.
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申请公布号 |
US7945570(B2) |
申请公布日期 |
2011.05.17 |
申请号 |
US20090551033 |
申请日期 |
2009.08.31 |
申请人 |
INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
PAPADIMITRIOU SPYRIDON;YU PHILIP S. |
分类号 |
G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
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地址 |
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