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Web information retrieval based on data mining technology

机译:基于数据挖掘技术的Web信息检索

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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.
机译:Web信息检索能否快速有效地取决于信息检索的智能程度,而Datamining技术的运用可以大大增强Wed信息的检索功能。本文主要介绍了数据挖掘技术在网络信息检索中的应用,并采用贝叶斯网络算法进行相关数据的关联。在应用之前,需要在检索平台上进行简单描述,然后详细分析和分析数据挖掘的关联规则,最后基于贝叶斯算法对生活案例进行模拟分析。最终获得的实验结果是,数据挖掘技术结合贝叶斯算法的应用在网络信息检索中发挥了智能化和个性化的作用,具有重要的研究价值。

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