发明申请
- 专利标题: Automatic data perspective generation for a target variable
- 专利标题(中): 为目标变量生成自动数据透视图
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申请号: US10824108申请日: 2004-04-14
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公开(公告)号: US20050234960A1公开(公告)日: 2005-10-20
- 发明人: David Chickering , Bo Thiesson , Carl Kadie , David Heckerman , Christopher Meek , Allan Folting , Eric Vigesaa
- 申请人: David Chickering , Bo Thiesson , Carl Kadie , David Heckerman , Christopher Meek , Allan Folting , Eric Vigesaa
- 申请人地址: US WA Redmond
- 专利权人: Microsoft Corporation
- 当前专利权人: Microsoft Corporation
- 当前专利权人地址: US WA Redmond
- 主分类号: G06F19/00
- IPC分类号: G06F19/00 ; G06F17/00 ; G06F17/30 ; G06N5/04
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.
公开/授权文献
- US07225200B2 Automatic data perspective generation for a target variable 公开/授权日:2007-05-29
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