Invention Grant
US07644094B2 System and method for processing a large data set using a prediction model having a feature selection capability
有权
使用具有特征选择能力的预测模型来处理大数据集的系统和方法
- Patent Title: System and method for processing a large data set using a prediction model having a feature selection capability
- Patent Title (中): 使用具有特征选择能力的预测模型来处理大数据集的系统和方法
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Application No.: US11193268Application Date: 2005-07-30
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Publication No.: US07644094B2Publication Date: 2010-01-05
- Inventor: David Earl Heckerman
- Applicant: David Earl Heckerman
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lyon & Harr, L.L.P.
- Agent Craig S. Fischer
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
The present invention includes a system and a method for processing large data sets that are too large to conveniently fit into a formal database application. The large data set processing system and method use a prediction model having a feature selection capability to process a fraction of the large data set and define useful predictors. The useful features are used to make predictions for the entire data set. The large data set processing system includes a useful predictor module, for defining useful predictors, and a feature-selection prediction model, for processing a portion of the data set (including the useful predictors) to obtain prediction results.
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