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    • 1. 发明申请
    • LARGE-SCALE DATA PROCESSING SYSTEM, METHOD, AND NON-TRANSITORY TANGIBLE MACHINE-READABLE MEDIUM THEREOF
    • 大规模数据处理系统,方法和非易失性可变机器可读介质
    • US20130238664A1
    • 2013-09-12
    • US13415585
    • 2012-03-08
    • Yi-Chen HsuWenwey HseushShih-Chang HsuYi-Cheng HuangMichael Chih Huong Fong
    • Yi-Chen HsuWenwey HseushShih-Chang HsuYi-Cheng HuangMichael Chih Huong Fong
    • G06F17/30
    • G06F17/30592
    • A large-scale data processing system, a large-scale data processing method, and a non-transitory tangible machine-readable medium are provided. The large-scale data processing system comprises an interface and a processor. The interface accesses a multi-dimensional data model, wherein the multi-dimensional data model comprises a plurality of dimensions, the dimensions form a multi-dimensional space of measures, each dimension is a single space comprising a plurality of members with a common set of attributes, and each measure is a data element organized and accessible through the multi-dimensional space of the cross-product of all dimensions. The processor builds at least one Tree Object (TO), wherein the TO is derived by converting the multi-dimensional data model into an N-level tree data structure according to a level order of N attributes, each tree node in the TO meets all conditions of attributes for all ancestor nodes, and N is a positive integer.
    • 提供大规模数据处理系统,大规模数据处理方法和非暂时有形机器可读介质。 大规模数据处理系统包括接口和处理器。 所述界面访问多维数据模型,其中所述多维数据模型包括多个维度,所述维度形成度量的多维空间,每个维度是包括多个成员的单个空间,所述多个成员具有共同的 属性,并且每个度量是通过所有维度的交叉乘积的多维空间组织和访问的数据元素。 处理器构建至少一个树对象(TO),其中通过根据N个属性的级别顺序将多维数据模型转换为N级树数据结构来导出TO,TO中的每个树节点满足所有 所有祖先节点的属性条件,N是正整数。
    • 3. 发明授权
    • Large-scale data processing system, method, and non-transitory tangible machine-readable medium thereof
    • 大规模数据处理系统,方法和非暂时有形的机器可读介质
    • US08620963B2
    • 2013-12-31
    • US13415585
    • 2012-03-08
    • Yi-Chen HsuWenwey HseushShih-Chang HsuYi-Cheng HuangMichael Chih Huong Fong
    • Yi-Chen HsuWenwey HseushShih-Chang HsuYi-Cheng HuangMichael Chih Huong Fong
    • G06F17/00
    • G06F17/30592
    • A large-scale data processing system, a large-scale data processing method, and a non-transitory tangible machine-readable medium are provided. The large-scale data processing system comprises an interface and a processor. The interface accesses a multi-dimensional data model, wherein the multi-dimensional data model comprises a plurality of dimensions, the dimensions form a multi-dimensional space of measures, each dimension is a single space comprising a plurality of members with a common set of attributes, and each measure is a data element organized and accessible through the multi-dimensional space of the cross-product of all dimensions. The processor builds at least one Tree Object (TO), wherein the TO is derived by converting the multi-dimensional data model into an N-level tree data structure according to a level order of N attributes, each tree node in the TO meets all conditions of attributes for all ancestor nodes, and N is a positive integer.
    • 提供大规模数据处理系统,大规模数据处理方法和非暂时有形机器可读介质。 大规模数据处理系统包括接口和处理器。 所述界面访问多维数据模型,其中所述多维数据模型包括多个维度,所述维度形成度量的多维空间,每个维度是包括多个成员的单个空间,所述多个成员具有共同的 属性,并且每个度量是通过所有维度的交叉乘积的多维空间组织和访问的数据元素。 处理器构建至少一个树对象(TO),其中通过根据N个属性的级别顺序将多维数据模型转换为N级树数据结构来导出TO,TO中的每个树节点满足所有 所有祖先节点的属性条件,N是正整数。