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云计算环境下并行分布式数据挖掘平台研究
引用本文:赵建光. 云计算环境下并行分布式数据挖掘平台研究[J]. 电脑开发与应用, 2014, 0(7): 77-80
作者姓名:赵建光
作者单位:天津市公共卫生信息中心,天津300070
摘    要:网络技术在带给人们大量信息的同时,也极大地增加了人们从海量数据中发现有用知识的难度,而解决这一问题的努力促进了数据挖掘技术的出现和快速发展。云计算是能够提供动态资源池、虚拟化和高可用性的计算平台,云计算开发平台可被用来开发高性能应用程序。研究云计算环境下并行分布式数据挖掘平台的3个层次,依下而上为分布式计算层,知识发现平台层以及用户应用层。

关 键 词:云计算  数据挖掘  海量数据  并行分布式系统

Research on Parallel and Distributed Data Mining Platform under Cloud Computing
ZHAO Jian-guang. Research on Parallel and Distributed Data Mining Platform under Cloud Computing[J]. Computer Development & Applications, 2014, 0(7): 77-80
Authors:ZHAO Jian-guang
Affiliation:ZHAO Jian-guang;(Tianjin Information Centre of Public Health; Tianijn 300070, China)
Abstract:The development of network techniques brings people in a great deal of information,it also greatly increase the difficulty to find useful knowledge from mass data.The efforts solved this problem promote the emergence and rapid development of data mining techniques.Cloud computing is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet.Cloud computing platform can be used to development high capability programmes.The paper researches the three levels in parallel and distributed data mining under cloud computing suchas,by bottom-up,the distributed computing layer,the data mining platform layer and the service application layer.Key words:cloud computing,datamining,mass data,parallel and distributed system
Keywords:cloud computing  datamining  mass data  parallel and distributed system
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