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基于Web使用挖掘的实时聚类算法 被引量：6

A real-time clustering algorithm based on Web usage mining
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摘要 本文讨论了基于Web使用挖掘的Web个性化技术,针对个性化系统的功能及特点,论述了相关数据采集、数据预处理技术和模式发现及其在个性化服务中的应用,提出了一个关于个性化系统的实时聚类算法.实验结果表明,该算法不仅有效,而且具有较高的准确度,能适应用户短期浏览的变化. This paper is concerned with the Web personalization technology based on Web usage mining, Correlative data mining, data preprocessing and mode discovering with applications in the personalization service are discussed and a real-time clustering algorithm for personalization system is suggested. Finally, experimental results show that the algorithm is efficient and highly precise, which can adapt to short-term changes of users behavior.
作者 邓晶晶 蒋玉明 傅静涛
机构地区 四川大学计算机学院
出处 《四川大学学报（自然科学版）》 CAS CSCD 北大核心 2007年第4期803-806,共4页 Journal of Sichuan University(Natural Science Edition)
关键词 个性化服务 WEB使用挖掘 数据采集 数据预处理 模式发现 实时聚类算法 personalization service, Web usage mining data mining, data preprocessing, mode discovering, realtime clustering algorithm
分类号 TP274 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献6

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二级参考文献12

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共引文献8

同被引文献28

  • 1李桂英,李吉桂.基于模糊聚类的Web日志挖掘[J].计算机科学,2004,31(12):130-131. 被引量：13
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  • 3潘钧.面向Web日志的语义聚类算法[J].计算机应用研究,2007,24(7):267-269. 被引量：1
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引证文献6

二级引证文献5

四川大学学报（自然科学版）
2007年 第4期

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