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  • 标题:Cloud Computing Environments Parallel Data Mining Policy Research
  • 本地全文:下载
  • 作者:Wenwu Lian ; Xiaoshu Zhu ; Jie Zhang
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2015
  • 卷号:8
  • 期号:4
  • 页码:135-144
  • DOI:10.14257/ijgdc.2015.8.4.13
  • 出版社:SERSC
  • 摘要:With the rapid development of computer science and technology, more and more data is stored in the computer storage media , data mining (DM) emerged as an interdisciplinary subject , it is based on a method previously used researcher science and algorithms . Cloud computing is an emerging shared infrastructure approach that open standards and service-based, Internet-centric , providing safe , fast and convenient data storage and network computing services. The cloud computing applications to data mining, you can tap the growing number of mass data solutions. This paper presents a cloud computing environment suitable for partitioning the data set allocation method and data sets; introduces improved Apriori algorithm based on its calculation of two parallel processes running on the platform in the cloud, the results of the simulation.
  • 关键词:cloud computing; data mining; massive data; Apriori algorithm
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