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基于模糊理论的远程教育网站自调整策略*
引用本文:邹媛,牛振东.基于模糊理论的远程教育网站自调整策略*[J].现代图书情报技术,2004,20(3):5-9.
作者姓名:邹媛  牛振东
作者单位:1. 北京理工大学计算机科学工程系,北京,100081
2. 中国数字图书馆有限责任公司,北京,100081;北京理工大学软件学院,北京,100081
摘    要:互联网应用和信息技术在教育领域的高速发展,使得人们不再局限于传统的教室学习,数字图书馆和基于Web与多媒体技术的远程教育模式得到了迅速推广。建立反映学习状况水平的个性化学习网站对于远程教育有着重要意义,是一个新的研究领域。本文将模糊理论运用到远程教育网站的服务模型中,使网站具有自我调整的功能,能够为学生提供一个良好的学习平台。文中提出了一种自调整的远程教育网站的体系结构和改进的CA算法。

关 键 词:远程教育  Web挖掘  模糊聚类  用户访问模式
收稿时间:2003-12-30
修稿时间:2003年12月30

Website Selfadjustment Strategy for Distance  Learning Using Fuzzy Clustering
Zou Yuan Niu Zhendong.Website Selfadjustment Strategy for Distance  Learning Using Fuzzy Clustering[J].New Technology of Library and Information Service,2004,20(3):5-9.
Authors:Zou Yuan Niu Zhendong
Institution:(Department of Computer Science, Beijing Institute of Technology, Beijing 100081, China) (China Digital Library Corp., Ltd, Beijing 100081, China) (The School of Software, Beijing Institute of Technology, Beijing 100081, China)
Abstract:The proliferation of Web applications and information technologies in the field of education has , made people jump the traces of traditional learning style, and sparks the distance learning. An important part of distance learning is to provide personal learning Website, which can reflect user profiles and knowledge level. In this paper, the authors apply the fuzzy theory to the distance learning Website mode. Their Website model has the function of self-adjustment and is a good study platform for students. The architecture and strategies of the self - adjustment Website and improve the CA clustering algorithm that can deal with data without explicit feature are discussed in this paper.
Keywords:Distance learning Web mining Fuzzy clustering User access pattern
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