期刊文献+

基于云计算的贝叶斯分类算法在过滤垃圾邮件中的研究 被引量:1

The Application of Bayes Classification Algorithm in Spam Filtering Based on Cloud Computing
下载PDF
导出
摘要 为了抵制垃圾邮件对互联网及其用户造成的严重不良影响,本文采用高效的贝叶斯分类算法,基于hadoop平台实现垃圾邮件的过滤系统,克服了传统并行系统在编程实现和系统扩展上的不足,充分利用云计算环境优势,使系统实现简单,扩展容易,性能提高;并做了相关的试验,验证了设计理论。 To preventing the Internet and users from the influence of spam, the spam filtering system based on Bayes Classifica-tion Algorithm and the hadoop platform is proposed, overcoming the insufficiency of programming and system extension in the tradi-tional parallel system. This system makes full use of the advantages of cloud computing environment, which is easy to be implement-ed and extended. And the related test is done to verify the design theory.
作者 周霞 王华军
机构地区 成都理工大学
出处 《电脑与电信》 2014年第1期53-55,共3页 Computer & Telecommunication
关键词 垃圾邮件 云计算 贝叶斯分类 spam cloud computing Bayes Classification MapReduce HDFS
  • 相关文献

参考文献5

  • 1JiaweiHan.MichelineKamber数据挖掘概念与技术[M].北京:机械工业出版社,2006.
  • 2TomWbite.Hadoop权威指南[M].北京:清华大学出版社,2011.
  • 3朱杰.基于云计算及贝叶斯算法的垃圾短信过滤技术研究与实现[D].电子科技大学,2010.
  • 4李震,杜中军.云计算环境下的改进型Map-Reduce模型[J].计算机工程,2012,38(11):27-29. 被引量:7
  • 5何元.基于云计算的海量数据挖掘分类算法研究[D].成都:电子科技大学,2011.

二级参考文献11

  • 1Foster I, Zhao Yong, Raicu I, et al. Cloud Computing and Grid Computing 360-degree Compared[C]//Proc. of GCE'08. Washington D. C., USA: IEEE Computer Society, 2008.
  • 2Ghemawat S, Gobioff H, Leung S. The Google File System[C]// Proc. of SOSP'03. New York, USA: ACM Press, 2003.
  • 3Chang F, Dean J, Ghemawat S, et al. BigTable: A Distributed Storage System for Structured Data[J]. ACM Trans. on Computer Systems, 2008, 26(2): 1-26.
  • 4Dean J, Ghemawat S. Map-Reduce: Simplified Data Processing on Large Clusters[C]//Proc. of the 6th Symposium 9n Operating System Design and Implementation. New York, USA: ACM Press, 2004.
  • 5Nurmi D, Wolski R, Grzegorczyk C, et al. The Eucalyptus Open- source Cloud-computing System[C]//Proc. of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid. [S. L]: IEEE Computer Society, 2009.
  • 6Armbrust M, Fox A, Griffith R, et al. Abore the Clouds: Aberkeley View of Cloud Computing[R]. Berkeley, USA: University of California, Berkeley: Technical Report: UCB/EECS-2009-28, 2009.
  • 7Yan Baoqiang, Rhodes P J. Toward Automatic Parallelization of Spatial Computation for Computing Clusters[C]//Proc. of the 17th Intemational Symposium on High Performance Distributed Computing. New York, USA: ACM Press, 2008.
  • 8Nagarajan A B, Mueller F, Engelmann C, et al. Proactive Fault Tolerance for HPC with Xen Virtualization[C]//Proc. of the 21stAnnual Intemational Conference on Supercomputing. New York, USA: ACM Press, 2007.
  • 9Pinar A, Hendrickson B. Exploiting Flexibly Assignable Work to Improve Load Balance[C]//Proc. of the 14th Annual ACM Symposium on Parallel Algorithms. New York, USA: ACM Press, 2002.
  • 10刘怡,张戡.基于负载平衡和经验值的工作流任务分配策略[J].计算机工程,2009,35(21):57-59. 被引量:16

共引文献15

同被引文献18

引证文献1

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部