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METHOD AND SYSTEM FOR PREDICTING TRAFFIC DATA AMOUNT AND/OR RESOURCE DATA AMOUNT

机译:预测交通数据量和/或资源数据量的方法和系统

摘要

The embodiments of the present invention provide a method and system for predicting traffic data amount and/or resource data amount, and a computer storage medium; the method comprises: a raw data set of traffic data amount and/or resource data amount is constructed; dimensionality reduction preprocessing is performed on the raw data set to obtain a preprocessed data set; initial clustering is first performed on the preprocessed data set to obtain an initial clustered data set; according to the initial clustered data set, accurate clustering is at least once again performed on the raw data set to obtain an accurately clustered data set; according to the accurately clustered data set, a prediction model is determined; according to the prediction model, the predicted amount of traffic and/or resource data is obtained.
机译:本发明实施例提供了一种预测交通数据量和/或资源数据量的方法和系统,以及一种计算机存储介质。该方法包括:构建交通数据量和/或资源数据量的原始数据集;对原始数据集进行降维预处理,以获得预处理后的数据集;首先对预处理后的数据集进行初始聚类以获得初始聚类数据集;根据所述初始聚类数据集,对所述原始数据集至少再次进行精确聚类,得到精确聚类数据集。根据准确聚类的数据集,确定预测模型;根据预测模型,获得预测的流量和/或资源数据量。

著录项

  • 公开/公告号WO2016033969A1

    专利类型

  • 公开/公告日2016-03-10

    原文格式PDF

  • 申请/专利权人 ZTE CORPORATION;

    申请/专利号WO2015CN75995

  • 发明设计人 GU JUN;MA DA;ZHANG SHIMENG;GAO JINGBAO;

    申请日2015-04-07

  • 分类号H04W16/22;

  • 国家 WO

  • 入库时间 2022-08-21 14:18:40

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