西安工程大学学报2016，Vol.30Issue(5)：645-650,6.DOI:10.13338/j.issn.1674-649x.2016.05.017
面向云计算的时间序列数据挖掘系统架构设计
Design of time series data mining system based on cloud computing
摘要
Abstract
With the increasing scale of cloud computing center,using the traditional method to mine data,the accuracy low,the compatibility poor,anti-interference performance low,the data scheduling and data access performance not high,a cloud data time series similarity charac-teristics of ontology matching based on data mining algorithm and system architecture design method is thus proposed.To build the overall data mining model of cloud computing center,to exact cloud data time series similarity characteristics of ontology,an analysis of big data time series is made.Anchor fully matching method is used to realize optimal design of time series da-ta mining system oritented cloud computing.The simulation results show that using this meth-od to data mining of cloud computing center,the matching degree is higher,the directivity of significant data characteristics is remarkable,the anti-interference performance is stable and the accuracy of data mining is higher.关键词
云计算/时间序列分析/数据挖掘/系统架构Key words
cloud computing/time series analysis/data mining/system architecture分类
信息技术与安全科学引用本文复制引用
张清忠..面向云计算的时间序列数据挖掘系统架构设计[J].西安工程大学学报,2016,30(5):645-650,6.基金项目
福建省教育厅中青年教师教育科研项目(JAS14853) （JAS14853）
