Web log mining based on fuzzy immunity clonal selection neural network

被引：0
|
作者：
Chen, Zhenguo [1 ]
机构：
[1] N China Inst Sci & Technol, Dept Comp Sci & Technol, Beijing 101601, Peoples R China
来源：
2007 INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, VOLS 1-3 | 2007年
关键词：
data mining; fuzzy logic; immunity clonal selection; neural network; web log;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Web log mining is an important application of data raining and has been widely explored. In this paper, we propose a novel Fuzzy Immunity Clonal Selection Neural Network (FICSNN) algorithm and apply the Fuzzy Immunity Clonal Selection Neural Network to the process of mining web log. The rule set which is extracted from the web log by Fuzzy Immunity Clonal Selection Neural Network is viewed as predictive criterion. To evaluate our method, a real dataset is selected as our experiment data. The experiment result has shown that our algorithm can obtain the better performance.
引用
收藏
页码：532 / 535
页数：4
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