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    • 1. 发明申请
    • DISTRIBUTED MODEL-BUILDING
    • 分布式建筑
    • WO2017039010A1
    • 2017-03-09
    • PCT/JP2016/075918
    • 2016-08-29
    • ACCENTURE GLOBAL SERVICES LIMITEDNOMURA, Kazuhito
    • NOMURA, KazuhitoKUDO, TakuyaHAYASHI, MotoakiDANG, Congwei
    • G06F9/50G06F17/18
    • G06F17/30604G06F17/30569G06F17/30598
    • In some implementations, a computer-implemented method for generating computer-readable data models includes receiving time series data; applying a plurality of variable transformations to the time series data to generate a variable matrix with first and second dimensions; partitioning the variable matrix along a first one of the first and second dimensions to generate a plurality of data sets; partitioning the plurality of data sets along a second one of the first and second dimensions to generate a plurality data subsets; providing each of the plurality of data subsets to a respective computational unit in a distributed computing environment for evaluation; receiving, from the respective computational units, scores for a plurality of variables as determined by the respective computational units from the plurality of data subsets; and selecting a portion of the plurality of variables as having at least a threshold level of accuracy in modeling the time series data.
    • 在一些实现中,用于生成计算机可读数据模型的计算机实现的方法包括接收时间序列数据; 对所述时间序列数据应用多个可变变换以生成具有第一和第二维度的可变矩阵; 沿着第一和第二维度的第一维度划分可变矩阵以生成多个数据集; 沿着第一和第二维度中的第二维度划分多个数据集以生成多个数据子集; 将多个数据子集中的每一个提供给用于评估的分布式计算环境中的相应计算单元; 从各个计算单元接收由所述多个数据子集中的各个计算单元确定的多个变量的分数; 以及将所述多个变量的一部分选择为对所述时间序列数据建模至少具有阈值精度水平。