| Web日志中用户存取模式的聚类研究 |
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| 引用本文： | 吴瑞,史文武.Web日志中用户存取模式的聚类研究[J].情报学报,2006,25(5):629-633. |
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| 作者姓名： | 吴瑞 史文武 |
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| 作者单位： | 山西师范大学数学与计算机学院,太原,041004 |
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| 摘 要： | 基于用户访问网页的不同序列反映了用户特定的兴趣,提出了Web日志中用户存取模式的聚类算法。利用传统的Leader算法只扫描数据集一遍的优点,以及粗糙理论在处理含有不确定信息问题上的优势,给出了结合粗糙理论的改进Leader算法对用户存取模式进行聚类方法,使得同一类中的用户存取模式尽可能的相近或相似,不同类中的模式尽可能的相异。实验结果表明,该算法在可承受的计算时间内可对Web日志中的用户存取模式进行有效聚类。
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| 关 键 词： | 粗糙集 用户存取模 聚类分析 |
| 修稿时间： | 2005年12月13 |
A Clustering Research for User Access Patterns in Web Logs |
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| Wu Rui,Shi Wenwu.A Clustering Research for User Access Patterns in Web Logs[J].Journal of the China Society for Scientific andTechnical Information,2006,25(5):629-633. |
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| Authors: | Wu Rui Shi Wenwu |
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| Abstract: | Different sequences composed of web pagevisits disclose users' specific interest.Thus a clustering algorithm is proposed to cluster user access patterns in web logs.According to the advantages of traditional Leader algorithm which only needs one data set scan,and that of rough set theory which can deal with issues having uncertainty information,a combination of improved Leader algorithm and rough set theory is proposed to cluster user access patterns,so as that there exists more similar behavior in one cluster and more evident difference between any two clusters.The experiment result shows that an effective clustering can be done on the user access patterns in web logs at an acceptable computation expense. |
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| Keywords: | rough set user access pattern clustering analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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