| 基于粗集和神经网络的用户访问模式挖掘 |
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| 引用本文： | 郑丽英,岳岩,匡晓君.基于粗集和神经网络的用户访问模式挖掘[J].兰州铁道学院学报,2008,27(6). |
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| 作者姓名： | 郑丽英 岳岩 匡晓君 |
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| 作者单位： | 兰州交通大学电子与信息工程学院 |
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| 基金项目： | 国家自然科学基金
，
甘肃省自然科学基金
，
甘肃省教育厅研究生导师科研项目资助
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| 摘 要： | 用户访问模式发现是构建自适应网站的关键技术.提出了一种基于粗糙集和神经网络相结合的用户访问模式的发现方法,建立了用户访问模式的一般模型.针对Web日志数据通常数据量大、冗余,以及页面之间关系不确定的特点,将粗糙集作为前端预处理器,简化信息处理空间,去掉冗余,采用神经网络聚类分类用户群,从而发现用户访问页面的方式.最后,通过实验分析表明文中方法的有效性.
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| 关 键 词： | 粗糙集 自组织神经网络 用户聚类 用户访问模式 |
The Mining of User Access Pattern Based on the Theory of Rough Set and Neural Network |
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| ZHENG Li-ying,YUE Yan,KUANG Xiao-jun.The Mining of User Access Pattern Based on the Theory of Rough Set and Neural Network[J].Journal of Lanzhou Railway University,2008,27(6). |
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| Authors: | ZHENG Li-ying YUE Yan KUANG Xiao-jun |
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| Abstract: | Discovering of user access pattern is the key technique of adaptive website.In the paper,a method of dectecting user's pattern is built based on the theory of the rough set and kohonen neural network,then the general model of user pattern discovery is established on the basis of rough set and kohonen neural network.Rough set is used as the front pretreatment implement,for it can reduce information process space,get rid of redundant information,and the users can be clustered into many groups.So that,a mode of user access pattern is discovered.In the end,the experiment indicates that the method described in the paper is valid. |
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| Keywords: | rough set kohonen neural network user clustering user access pattern |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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