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Web日志模糊聚类算法的研究 被引量：3

RESEARCH ON A FUZZY CLUSTERING FOR Web LOG MINING
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摘要 本文提出了一种新的Web事务模糊聚类算法 .给出了新的Web事务定义和相异度定义 ,聚类准则函数是所有样本与C个代表中心的相异度之和 ,我们的目标是使这个聚类准则函数最小 .同时给出了改进算法 .经过试验证明 ,改进的算法更有效 . A new fuzzy clustering algorithm of Web session is presented. We define the notion of a ”user session” and a new distance measure between two web sessions. The objective function is based on selecting c representative objects from the data set in such a way that the total fuzzy dissimilarity within each cluster is minimized. We also present a improved fuzzy clustering algorithm. A comparison between the two algorithms shows improved fuzzy clustering algorithm is more efficient.
作者 吴妮娅 张健沛
机构地区 哈尔滨工程大学
出处 《哈尔滨师范大学自然科学学报》 CAS 2003年第5期63-66,共4页 Natural Science Journal of Harbin Normal University
基金 黑龙江省自然科学基金资助项目 (F0 1-0 6)
关键词 WEB站点 模糊聚类算法 WEB日志挖掘 聚类准则函数 数据挖掘 Web Session Fuzzy clustering Web log mining
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论] TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献8

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同被引文献16

  • 1姜园,张朝阳,仇佩亮,周东方.用于数据挖掘的聚类算法[J].电子与信息学报,2005,27(4):655-662. 被引量：70
  • 2马晓春,高翔,高德远.聚类分析在入侵检测系统中的应用研究[J].微电子学与计算机,2005,22(4):134-136. 被引量：13
  • 3王辉,高利军,王听忠.个性化服务中基于用户聚类的协同过滤推荐[J].计算机应用,2007,27(5):1225-1227. 被引量：43
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  • 5Borges J,Levene M.Mining Association Rules in Hypertext Database[C].In:Proc the 4th Int'l Conf on Knowledge Discovery and Data Mining,Menlo Park:AAA I Press,1998:149～ 153
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  • 7J Han,O R Zaiane,M Xin.Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs[C].In:Proc Advances in Digital Libraries Conf(ADL'98),Santa Barbara,CA,1998:19～29
  • 8Alejandro A Vaisman,Gabriel DanDretta,Mariela Sapia.Enhancing Web Access Using Data Mining Techiques[C].In:Proceeding of the 14th International Workshop on Database and Expert Systems Application (DEXA'03),2003
  • 9Han J,Kambr M.Data mining:concepts and techniques[M].Beijing Higher education Press,2001
  • 10Aggarwal C,Yu P.Data mining techniques for personalization[J].IEEE Data Engineering Bulletin,2000,23 (1):4-9

引证文献3

二级引证文献11

哈尔滨师范大学自然科学学报
2003年 第5期

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