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Web information retrieval based on data mining technology

Yunpeng Cai


Whether Web information retrieval can be quick and efficient depends on the intelligent degree of information retrieval, and the utilization of Datamining technology can greatly enhance the retrieval function of Wed information. This paper mainly described the application of Datamining in Web information retrieval, and adopted Bayesian network algorithm for conducting the association of related data. Before application, it was needed to conduct simple description on retrieval platform, and then to elaborate and analyze the association rules of Datamining, and finally to conduct simulated analysis of living cases based on Bayesian algorithm. The final obtained experimental result was that Datamining technology combined with the application of Bayesian algorithm played an intelligent and personalized role in Web information retrieval, thus it had great research value.


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索引于

  • 中国社会科学院
  • 谷歌学术
  • 打开 J 门
  • 中国知网(CNKI)
  • 引用因子
  • 宇宙IF
  • 研究期刊索引目录 (DRJI)
  • 秘密搜索引擎实验室
  • 学术文章影响因子(SAJI))
  • ICMJE

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