| 基于云计算的并行数据挖掘系统设计与实现 |
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| 引用本文： | 李凯,常征. 基于云计算的并行数据挖掘系统设计与实现[J]. 微计算机信息, 2011, 0(6) |
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| 作者姓名： | 李凯 常征 |
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| 作者单位： | 成都信息工程学院计算机学院; |
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| 摘 要： | 为了提供虚拟化、高扩展和高性能的并行数据挖掘平台,提出了基于云计算平台的并行数据挖掘模型。文章中首先在GoogleAppEngine平台的基础上扩展了数据规约功能,然后提出了并行数据挖掘平台的系统构架和层次结构,最后给出了平台中各功能模块的具体设计和实现细节。实验分析表明基于云计算平台的并行数据挖掘系统执行效率要比单机系统高,并随着数据量的增大,效率优势越明显。
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| 关 键 词： | 并行数据挖掘 云计算 虚拟化 GoogleAppEngine |
Parallel Data Mining System Design and Implementation Based on Cloud Computing |
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| LI Kai CHANG Zheng. Parallel Data Mining System Design and Implementation Based on Cloud Computing[J]. Control & Automation, 2011, 0(6) |
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| Authors: | LI Kai CHANG Zheng |
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| Affiliation: | LI Kai CHANG Zheng(College of Computer Science & Technology,Chengdu University of Information Technology,Chengdu 610225,China) |
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| Abstract: | In order to provide a virtualization,high scalability and high-performance of data mining platform,based on the cloud computing,a data mining platform mode in parallel is proposed in this paper.Firstly,on the basis of?Google App Engine development platform,the function of data reduction is expanded.After that,the system architecture of the data mining platform in parallel? based on cloud computing is presented.Finally in this paper,the design thought?and implementation technique of each function module is p... |
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| Keywords: | Parallel Data Mining Cloud Computing Virtualization Google App Engine1 |
| 本文献已被 CNKI 等数据库收录！ |
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