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METHOD FOR ACQUIRING CONSECUTIVE MISSING VALUES, DATA ANALYSIS DEVICE, TERMINAL, AND STORAGE MEDIUM

机译:连续丢失值的获取方法,数据分析设备,终端和存储介质

摘要

The present invention discloses a method for acquiring consecutive missing values, a data analysis device, a data analysis terminal, and a computer-readable storage medium. The method for acquiring consecutive missing values comprises: if it is detected that a target time sequence acquired on the basis of a preset time interval has consecutive missing values, acquiring, according to the preset time interval, all of sequence feature values from all of time sequence samples, so as to generate a feature data sequence of each time sequence sample; performing anomaly detection calculation on each feature data sequence, so as to determine normal data sequences among all of the feature data sequences; acquiring a corresponding target time point of the consecutive missing values in the target data sequence, and acquiring sequence feature values at all of the target time points in all of the normal data sequences; and calculating a mean value of all of the sequence feature values at the target time points, and using feature mean values as filling reference values of the consecutive missing values corresponding to the target time point. The present invention improves the authenticity of data of a time sequence.
机译:本发明公开了一种用于获取连续缺失值的方法,数据分析设备,数据分析终端和计算机可读存储介质。一种连续缺失值的获取方法,包括:如果检测到基于预设时间间隔获取的目标时间序列具有连续缺失值,则根据所述预设时间间隔,从所有时间获取所有序列特征值序列样本,以生成每个时间序列样本的特征数据序列;对每个特征数据序列进行异常检测计算,以确定所有特征数据序列中的正常数据序列;获取目标数据序列中连续缺失值的对应目标时间点,并获取所有正常数据序列中所有目标时间点的序列特征值;计算目标时间点所有序列特征值的均值,并将特征均值作为与目标时间点对应的连续缺失值的填充参考值。本发明提高了时序数据的真实性。

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