发明名称 |
METHOD FOR DETERMINING A PREFERRED NODE IN A CLASSIFICATION AND REGRESSION TREE FOR USE IN A PREDICTIVE ANALYSIS |
摘要 |
Techniques are described for determining what node of a classification and regression tree (CART) should be used by a predictive analysis application. A first approach is to use a standard deviation of the data at a given the level of the CART to determine whether data in the next, lower node is more consistent than the data in the current node. A second approach is to measure a correlation between data points in a given node and the time at which each point was sampled (or other correlation metric) to identify a preferred node.
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申请公布号 |
US2013097109(A1) |
申请公布日期 |
2013.04.18 |
申请号 |
US201213705286 |
申请日期 |
2012.12.05 |
申请人 |
INTERNATIONAL BUSINESS MACHINES CORPORATION;INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
ARNDT KARLA K.;CAFFREY JAMES M.;PAYTON ASPEN L. |
分类号 |
G06N5/02 |
主分类号 |
G06N5/02 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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