Application Research in Internet information retrieval of Data Mining Technology

被引：0
|
作者：
Li Jie-yi [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Dept Econ & Management, Beijing 100088, Peoples R China
来源：
2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA) | 2013年
关键词：
resource retrieval; behavior pattern discrimination; bayesian algorithm; association rules mining;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
According to the problem of the constant increase of internet data and the current Internet information retrieval system has been unable to meet the needs of data and information retrieval, this paper puts forward the data mining based Internet information retrieval system. The paper first uses data mining to excavate association rules, and evaluates the entire behavior simulation of users resources need according to a certain factor of user's retrieval resources, and then uses bayesian network algorithm to correlate the mining data. Experimental simulation results show that the application of bayesian network algorithm into Internet information retrieval has implemented intelligence and personalization of information retrieval to a certain extent, which has certain research value.
引用
收藏
页码：1071 / 1074
页数：4
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