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Web挖掘中发现用户访问模式算法的改进与分析 被引量：2

Improvement and Analysis of Algorithm for Discovering Users Frequent Access Patterns on Web Mining
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摘要 Web日志挖掘的一个主要任务是获得用户的浏览模式,这对Web站点的改进和为用户提供个性化服务提供了有价值的潜在信息。本文提出了一种改进算法——RD_Close。该算法对数据挖掘中的Close方法进行了改进,并引入了RD_Apriori方法中缩减数据库的思想。这种改进算法能有效发现用户频繁访问模式。最后,用实际数据对算法性能进行了充分验证和深入分析。 Discovering and identifying users＇ access patterns, which can provide very valuable potential information for the improvement of web site and the personalized service of users , is one of the primary tasks on web usage mining. An improved algorithm-RD_Close is proposed, which has improved the Close method on data mining and introduced the thought of reduced database in RD _Apriori method. The improved algorithm can discover user frequent access patterns effectively. The performance of algorithm has been adequately tested and deeply analyzed by actual data.
作者 欧阳一鸣 陈敏 刘红樱 胡学钢
机构地区 合肥工业大学计算机与信息学院
出处 《模式识别与人工智能》 EI CSCD 北大核心 2005年第6期728-734,共7页 Pattern Recognition and Artificial Intelligence
基金 安徽省自然科学基金(No.050420207) 合肥工业大学科研发展基金(No.030503F)
关键词 WEB挖掘 频繁访问模式 访问模式的中心交集 访问模式的中心子集 封闭访问模式 Web Mining, Frequent Access Pattern, Central Intersection of Access PatternsCentral Subset of Access Patterns, Closed Access Pattern
分类号 TP393.09 [自动化与计算机技术—计算机应用技术]
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参考文献11

  • 1Cooley R, Mobasher B, Srivastava J. Web Mining: Information and Pattern Discovery on the World Wide Web. In: Proe of the 9th IEEE International Conference on Tools with Artificial Intelligence. Newport Beach, USA, 1997, 558-567.
  • 2Madria S K, Bhowmick S S, Ng W K, Lim E P. Research Issues in Web Data Mining. In: Proc of the 1st International Conference on Data Warehousing and Knowledge Discovery. Florance, Italy, 1999, 303-312.
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  • 9陶树平,屠颖.关联规则和分类规则挖掘算法的改进与实现[J].计算机工程,2003,29(15):100-101. 被引量：8
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二级参考文献6

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共引文献7

同被引文献27

引证文献2

二级引证文献1

模式识别与人工智能
2005年 第6期

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