发明名称 |
Automatic data perspective generation for a target variable |
摘要 |
The present invention leverages machine learning techniques to provide automatic generation of conditioning variables for constructing a data perspective for a given target variable. The present invention determines and analyzes the best target variable predictors for a given target variable, employing them to facilitate the conveying of information about the target variable to a user. It automatically discretizes continuous and discrete variables utilized as target variable predictors to establish their granularity. In other instances of the present invention, a complexity and/or utility parameter can be specified to facilitate generation of the data perspective via analyzing a best target variable predictor versus the complexity of the conditioning variable(s) and/or utility. The present invention can also adjust the conditioning variables (i.e., target variable predictors) of the data perspective to provide an optimum view and/or accept control inputs from a user to guide/control the generation of the data perspective.
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申请公布号 |
US7225200(B2) |
申请公布日期 |
2007.05.29 |
申请号 |
US20040824108 |
申请日期 |
2004.04.14 |
申请人 |
MICROSOFT CORPORATION |
发明人 |
CHICKERING DAVID M.;THIESSON BO;KADIE CARL M.;HECKERMAN DAVID E.;MEEK CHRISTOPHER A.;FOLTING ALLAN;VIGESAA ERIC B. |
分类号 |
G06F17/00;G06F19/00;G06F7/00;G06F17/30;G06N5/04 |
主分类号 |
G06F17/00 |
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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