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INTELLIGENT MISSING DATA FILLING METHOD, APPARATUS AND DEVICE, AND STORAGE MEDIUM

机译:智能缺失数据填充方法,装置和设备和存储介质

摘要

An intelligent missing data filling method, apparatus and device, and a storage medium, relating to an artificial intelligence technology. The method comprises: receiving a missing data set; performing time mapping processing on the missing data set to obtain an output sequence set and a time mapping relationship; performing data classification on the output sequence set by using a joint Bayesian algorithm to obtain a classification data set; capturing missing data features of the classification data set to obtain a missing data feature set; calculating a feature time relationship of the missing data feature set according to the time mapping relationship; performing multi-time sequence fusion on the feature time relationship to obtain a time point missing data set; and calculating a probability residual value of the time point missing data set, and calculating a data filling value by taking the probability residual value as a function value of a preset data filling function. The method can implement a more accurate missing data filling function.
机译:智能缺失数据填充方法,装置和装置,以及与人工智能技术有关的存储介质。该方法包括:接收缺失的数据集;执行缺失数据集的时间映射处理以获取输出序列集和时间映射关系;通过使用联合贝叶斯算法在输出序列中执行数据分类来获取分类数据集;捕获分类数据集的缺失数据功能以获取缺少的数据功能集;根据时间映射关系计算缺失数据功能的特征时间关系;在特征时间关系上执行多时间序列融合,以获得时间点丢失的数据集;并计算时间点缺失数据集的概率剩余值,并通过将概率剩余值作为预设数据填充函数的函数值来计算数据填充值。该方法可以实现更准确的缺失数据填充功能。

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