摘要
针对在协同云计算下差异区域数据挖掘偏差较大,准确度不高的问题,提出基于非线性时间序列分析且分层调度控制的差异区域数据挖掘方法。首先构建协同云计算下差异区域数据的信息传输模型,进行数据信息流的时间序列采样分析;然后采用非线性时间序列分析方法重构特征空间,在重构的特征相空间进行自适应分层调度控制,提取关联规则特征,有效挖掘数据;最后进行仿真测试,结果表明该方法的数据挖掘精度较高,抗扰性能较强。
Since the difference area data mining has large deviation and low accuracy under collaborative cloud computing, a difference area data mining method based on nonlinear time series analysis and hierarchical scheduling control is proposed. The information transmission model of the difference area data under collaborative cloud computing was constructed to analyze the time series sampling of the data information stream. The nonlinear time series analysis method is used to reconstruct the fea- ture space, in which the adaptive hierarchical scheduling control was conducted to extract the characteristics of the association rules and mine the data effectively. The method was performed with simulation test. The results show that the method has high data mining precision, and strong interference resistance.
出处
《现代电子技术》
北大核心
2017年第5期118-121,共4页
Modern Electronics Technique
关键词
协同云计算
数据挖掘
调度控制
平台设计
collaborative cloud computing
data mining
scheduling control
platform design
