基于数据挖掘的高校云计算管理系统中特定数据查询技术

摘要

为了提高对高校云计算管理系统的数据管理和信息调度能力,提出一种数据挖掘的高校云计算管理系统中特定数据查询技术.分析高校云计算管理系统中的数据结构和分布状态模型,采用数据流的互信息特征提取方法进行特定数据的关联积分挖掘,采用定量递归分析方法进行数据降维,降低数据挖掘的计算开销,实现特征数据的准确查询.仿真结果表明,采用该方法进行高校云计算管理系统中特定数据查询的查准率较高,数据挖掘的抗干扰性较强.%To improve the data management and information scheduling capability of the cloud computing management sys-tem in university,a data mining based specific data query technology for the cloud computing management system in university is proposed. Data structure and distribution status model of the cloud computing management system in university are analyzed. The data flow′s mutual information feature extraction method is adopted to perform correlation integral mining of specific data. The quantification recurrence analysis method is adopted for data dimension reduction to reduce computation cost of data mining and achieve accurate query of feature data. The simulation results show that the method has high query precision ratio for specific data query of cloud computing management system in university and strong anti-interference capability of data mining.