摘要
如何能够更好的挖掘云计算下的数据信息一直以来都是研究的热点,首先分析了云计算下的SOA架构,其次在架构中采用了多核向量机的云计算数据挖掘技术,提出了基于SOCP的多核向量机挖掘思路,通过多校核对和模型推导证明了本文挖掘分类算法的可行性。实验采用了基于SOA架构的销售管理系统作为数据来源,通过实验说明本文算法能够有效的节省挖掘时间,提高挖掘效率。
How to better mine data and information in cloud computing has always been the focus of researches.This paper first analyzes the SOA framework in cloud computing,and then adopts the multicore vector machine as the cloud computing data mining technology.Finally,this paper proposes the SOCP-based multi-core vector machine thought and proves through multi-core verification and model deduction that mining classification algorithm in this paper is feasible.The SOA-framework-based sales management system is used in the experiment as the data source,and experiment shows that algorithm in this paper can effectively save mining time and improve the mining efficiency.
作者
张四平
王梅
Zhang Siping;Wang Mei(College of Computer Engineering,Hunan College of Information,Changsha 410200,China)
出处
《科技通报》
北大核心
2017年第8期124-128,共5页
Bulletin of Science and Technology
基金
湖南省教育厅高校科研项目基金(15C0980)
关键词
云计算
数据挖掘
多核向量机
cloud computing
data mining
multi-core vector machine
