DATA INTEGRATED ANALYSIS SYSTEM
    1.
    发明申请

    公开(公告)号:US20190392362A1

    公开(公告)日:2019-12-26

    申请号:US16559712

    申请日:2019-09-04

    Applicant: HITACHI, LTD.

    Abstract: A generation technique and an analysis technique of a large number of explanatory variables to derive effective measures by using various data are provided. Specifically, a factor which lurks in a large amount of data and affects business performance is identified by automatically generating a large number of explanatory variables and performing correlation analysis between the explanatory variables and an objective variable. Three operators representing condition, target, and arithmetic which are variable generation conditions are defined in advance for data inputted into an analysis system and a large number of explanatory variables are automatically generated by these operators.

    DATA INTEGRATED ANALYSIS SYSTEM
    2.
    发明申请
    DATA INTEGRATED ANALYSIS SYSTEM 审中-公开
    数据集成分析系统

    公开(公告)号:US20140108100A1

    公开(公告)日:2014-04-17

    申请号:US14049063

    申请日:2013-10-08

    Applicant: HITACHI, LTD.

    CPC classification number: G06Q10/0639

    Abstract: A generation technique and an analysis technique of a large number of explanatory variables to derive effective measures by using various data are provided. Specifically, a factor which lurks in a large amount of data and affects business performance is identified by automatically generating a large number of explanatory variables and performing correlation analysis between the explanatory variables and an objective variable. Three operators representing condition, target, and arithmetic which are variable generation conditions are defined in advance for data inputted into an analysis system and a large number of explanatory variables are automatically generated by these operators.

    Abstract translation: 提供了大量解释变量的生成技术和分析技术,以通过使用各种数据来推导出有效措施。 具体来说,通过自动生成大量的解释变量并在解释变量和客观变量之间进行相关性分析来确定大量数据潜在影响业务绩效的因素。 代表作为变量生成条件的条件,目标和算术的三个运算符被预先定义为输入到分析系统中的数据,并且由这些运算符自动生成大量解释变量。

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