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  • 标题:A NEW ALGORITHM OF THE DATA MINING MODEL IN CLOUD COMPUTING BASED ON WEB FUZZY CLUSTERING ANALYSIS
  • 本地全文:下载
  • 作者:XIANFENG YANG ; PENGFEI LIU
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2013
  • 卷号:49
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Cloud computing are Internet-based services to increase the use and delivery models, usually involving the Internet to provide easy to dynamically scalable and often virtualized resources. To solve these problems, the proposed web data mining method based on cloud computing: the massive data mining tasks decomposed into parallel processing on multiple servers. Web fuzzy clustering of objects is given Web object collection, object properties of the source data, and its direct role object is a Web fuzzy similarity matrix or the Web, fuzzy equivalent matrix. The paperr presents the new algorithm of the data mining model in cloud computing base on web fuzzy clustering analysis. The experimental results show that this method can effectively improve the performance of data mining.
  • 关键词:Fuzzy Clustering; Data Mining; Cloud Computing
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