MARKETING INVESTMENT OPTIMIZER WITH DYNAMIC HIERARCHIES
    2.
    发明申请
    MARKETING INVESTMENT OPTIMIZER WITH DYNAMIC HIERARCHIES 有权
    营销投资优化者与动态分层

    公开(公告)号:US20110166980A1

    公开(公告)日:2011-07-07

    申请号:US12749756

    申请日:2010-03-30

    CPC classification number: G06Q30/02 G06Q10/063 G06Q40/00

    Abstract: A hierarchal view preserving relationships between data is generated by storing information related to sales and investment. The information includes dimensions and each of the dimensions includes a level and each of the levels is described by variables. Relationships between the variables are also stored. A request for a hierarchy is received. The requested hierarchy includes a set of dimensions from the stored dimensions, a level for each dimension in the set, and a sequence of the dimensions or levels in the hierarchy. A computer system calculates values for the variables in the levels for the requested hierarchy using the stored relationships that are applicable to the variables in the levels. A view of the hierarchy is generated and includes the calculated values. The view also includes the dimensions or levels of the requested hierarchy in the sequence specified for the requested hierarchy.

    Abstract translation: 通过存储与销售和投资相关的信息来生成保持数据之间的关系的层次视图。 信息包括维度,每个维度包括一个级别,每个级别都由变量描述。 变量之间的关系也被存储。 接收到对层次结构的请求。 所请求的层次结构包括来自存储维度的维度集合,集合中每个维度的级别以及层次结构中维度或级别的顺序。 计算机系统使用适用于级别中的变量的存储关系来计算所请求层级的级别中的变量的值。 生成层次结构的视图,并包含计算值。 该视图还包括为所请求的层次结构指定的序列中请求的层次结构的维度或级别。

    MODEL OPTIMIZATION SYSTEM USING VARIABLE SCORING
    3.
    发明申请
    MODEL OPTIMIZATION SYSTEM USING VARIABLE SCORING 有权
    使用可变分数的模型优化系统

    公开(公告)号:US20110055127A1

    公开(公告)日:2011-03-03

    申请号:US12851391

    申请日:2010-08-05

    Applicant: Andris UMBLIJS

    Inventor: Andris UMBLIJS

    CPC classification number: G06Q30/06 G06N5/025

    Abstract: A model optimization system is configured to determine quality of variables for model generation. A data storage stores input variables, quality metrics for the input variables, and weights for the quality metrics. The quality metrics describe sufficiency of data for the input variables and the data is provided for a plurality of regions. A scoring module determines a score for each region based on the input variables and the weighted quality metrics. An optimizer determines whether at least one of the input variables for a region is to be modified based on the scores, and determines whether the total score for the region is operable to be improved using a modified input variable.

    Abstract translation: 模型优化系统被配置为确定模型生成的变量的质量。 数据存储存储输入变量,输入变量的质量度量和质量度量的权重。 质量度量表示输入变量的数据的充分性,并且为多个区域提供数据。 评分模块基于输入变量和加权质量度量来确定每个区域的得分。 优化器基于分数来确定是否要修改区域的输入变量中的至少一个,并且使用修改的输入变量确定区域的总分数是否可操作地被改进。

Patent Agency Ranking