| 发明名称 |
LARGE-SCALE MULTI-DETECTOR PREDICTIVE MODELING |
| 摘要 |
Predicting operational changes in a multi-detector environment includes generating, via a computer processing device, a factor matrix for each univariate time series data in a set of sparse time series data collected from data sources, identifying a subset of the time series data as a feature selection based on application of a loss function, and generating a predictive model from the subset of the time series data. |
| 申请公布号 |
US2014200870(A1) |
申请公布日期 |
2014.07.17 |
| 申请号 |
US201313962252 |
申请日期 |
2013.08.08 |
| 申请人 |
International Business Machines Corporation |
发明人 |
Hampapur Arun;He Qing;Li Hongfei;Li Zhiguo;Parikh Dhaivat P. |
| 分类号 |
G06Q10/06 |
主分类号 |
G06Q10/06 |
| 代理机构 |
|
代理人 |
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| 主权项 |
1. A method for predictive modeling, the method comprising:
generating, via a computer processing device, a factor matrix for each univariate time series data in a set of sparse time series data collected from data sources; identifying a subset of the time series data as a feature selection based on application of a loss function; and generating a predictive model from the subset of the time series data. |
| 地址 |
Armonk NY US |
