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基于数据挖掘技术的Web 智能服务算法
刘友华1 闵建宏2
1(南京大学信息管理系 南京 210093)
2(南京大学计算机科学与技术系 南京 210093)
提出了一种基于数据挖掘技术的W eb 智能服务算法, 它通过对W eb 数据模型的转换, 发现并建立有关用户意向关联知识库, 然后再利用知识库中的关联规则来预测用户行为, 从而提高了用户浏览器访问速度。该研究内容属目前智能信息检索领域的重要研究课题, 具有一定的理论和实践意义。
A Web Intelligent Service Algorithm Based on Data Mining Technology
Liu Youhua1 Min Jianhong2
1(Department of Information Management, Nanjing University, Nanjing 210093, China)
2(Department of Computer Science and Technology, China)
This paper proposes a Web intelligent service algorithm based data mining technology. People can firstly discover the users related-trends and establish a related knowledge base through abstracting and transforming the Web data model. Secondly,make use of the produced knowledge base to anticipate the users actions. So this method can speed up the uses browsing pages. This subject related the discussion is a very important topic in recent intelligent information retrieval field,and has broad theoretical and practicing prospect.
G354
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[3]Zhang Wei-Feng,Xu Bao-Wen,Chu William C,YangHong-Ji,Data mining algorithms for Web pre-fetching,Proc
WebSem’2000,2000
[4]Bamshad M,Cooley R,Srivastava J.,Data preparation for mining world wide web browsing patterns,Journal of Knowledge and Information Systems,1999,1(1):5-32