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
  • Application No.: US11193268
    Application Date: 2005-07-30
  • Publication No.: US07644094B2
    Publication 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
System and method for processing a large data set using a prediction model having a feature selection capability
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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