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基于模糊理论的因特网个性化服务应用 被引量:6

PERSONALIZED INTERNET SERVICE APPLICATION BASED ON FUZZY THEORY
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摘要 为了使因特网上的服务更加有效和便利 ,以Web挖掘为基础的因特网个性化服务目前正在得到广泛的研究和应用。本文以模糊理论为基础 ,探讨了一个基于Web日志挖掘的个性化用户预测系统。 Many researches and studies have being applied in these fields of personalized Internet service based on Web mining technology for providing Internet service more efficient and convenience.On the basis of fuzzy sets theory,this thesis discusses a personalized Web prediction system using Web log mining technology.
作者 冯鉴 姚敏
出处 《计算机应用与软件》 CSCD 北大核心 2004年第7期74-76,共3页 Computer Applications and Software
关键词 因特网 个性化服务 模糊理论 数据挖掘 Web mining Fuzzy sets Web log Personalized Internet service
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参考文献5

  • 1[1]Weiyang Lin, Sergio A. alvarez, Carolina Ruiz, Efficient adaptive-Support Association Rule Mining for Recommender System. Data Mining and Knowledge Discovery,2002, (6) :83 ~ 105.
  • 2[2]Bettina Berendt, Using Site Semantics to Analyze, Visualize, and Support Navigation. Data Mining and Knowledge Discovery,2002, (6): 37 ~ 59.
  • 3[3]Fergus Toolan, Nicholas Kushmerick, Mining Web Logs for Personalized Site Maps. Smart Media Institute, Computer Science Department, University College Dublin.
  • 4[4]Robert Cooley, Bamshad Mobasher, Jaideep Srivastava. Data Preparation for Mining World Wide Web Browsing Pattems, Knowledge and Information Systems, 1999.1.
  • 5[9]Raymond Kosala, Hendrik Blockeel,Web Mining Research: A Survey, ACM SIGKDD,2000,7(2): 11 ~ 15.

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