基于小波尺度特征提取的金属物流大数据挖掘算法

Metal logistics big data mining algorithm based on wavelet scale feature extraction

通过对金属物流大数据信息的准确挖掘,提高金属物流管理信息链中的信息加工和利用能力。提出一种基于小波尺度特征提取的金属物流大数据挖掘算法,构建金属物流大数据的信息流模型,对信息流进行小波尺度特征提取算法设计,实现有用特征数据的准确挖掘。仿真结果表明,该数据挖掘算法精确度较高,可靠性较好。

The information processing and utilization ability of the metal logistics management information chain is improved by the accurate data mining of metal logistics data. A metal logistics data mining algorithm is proposed based on wavelet feature extraction. The simulation results show that the algorithm has high precision and good reliability.