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    Co-occurrence consistency analysis method and apparatus for finding predictive variable groups
    1.
    发明授权
    Co-occurrence consistency analysis method and apparatus for finding predictive variable groups 有权
    共同一致性分析方法和装置，用于发现预测变量组

    公开(公告)号：US08355896B2

    公开(公告)日：2013-01-15

    申请号：US12202933

    申请日：2008-09-02

    申请人： Shailesh Kumar ,  Junwen Wu ,  Vesselin Diev

    发明人： Shailesh Kumar ,  Junwen Wu ,  Vesselin Diev

    IPC分类号： G06F17/50 ,  G06Q30/00 ,  G06Q99/00

    CPC分类号： G06Q10/10

    摘要： A method of modeling includes quantifying a co-operative strength value for a plurality of pairs of variables, and identifying a clique of at least three variables based on a graph of the co-operative strength values of a plurality of pairs of variables. The method also includes selecting a first pair of variables of the plurality of pairs of variables having a high co-operative strength value. A second clique may also be identified. A model of the first clique and a model of the second clique are made. The outputs of these models are combined to form a combined model which is used to make various decisions with respect to real time data.

    摘要翻译： 建模方法包括量化多对变量对的合作强度值，并且基于多对变量对的合作强度值的图来识别至少三个变量的集团。 该方法还包括选择具有高合作强度值的多对变量对的第一对变量。 也可以识别第二集团。 制作第一集团的模型和第二集团的模型。 这些模型的输出被组合以形成用于对实时数据做出各种决定的组合模型。

    CO-OCCURRENCE CONSISTENCY ANALYSIS METHOD AND APPARATUS FOR FINDING PREDICTIVE VARIABLE GROUPS
    2.
    发明申请
    CO-OCCURRENCE CONSISTENCY ANALYSIS METHOD AND APPARATUS FOR FINDING PREDICTIVE VARIABLE GROUPS 有权
    共同一致性分析方法和发现预测变量组的装置

    公开(公告)号：US20100057509A1

    公开(公告)日：2010-03-04

    申请号：US12202933

    申请日：2008-09-02

    申请人： Shailesh Kumar ,  Junwen Wu ,  Vesselin Diev

    发明人： Shailesh Kumar ,  Junwen Wu ,  Vesselin Diev

    IPC分类号： G06Q10/00

    CPC分类号： G06Q10/10

    摘要： A method of modeling includes quantifying a co-operative strength value for a plurality of pairs of variables, and identifying a clique of at least three variables based on a graph of the co-operative strength values of a plurality of pairs of variables. The method also includes selecting a first pair of variables of the plurality of pairs of variables having a high co-operative strength value. A second clique may also be identified. A model of the first clique and a model of the second clique are made. The outputs of these models are combined to form a combined model which is used to make various decisions with respect to real time data.

    摘要翻译： 建模方法包括量化多对变量对的合作强度值，并且基于多对变量对的合作强度值的图来识别至少三个变量的集团。 该方法还包括选择具有高合作强度值的多对变量对的第一对变量。 也可以识别第二集团。 制作第一集团的模型和第二集团的模型。 这些模型的输出被组合以形成用于对实时数据做出各种决定的组合模型。