摘要
探讨了Web挖掘的相关理论 ,包括Web文本信息的表示及特征提取 ,关联规则分析和信息分类 .综合Web挖掘的关键技术 ,提出了一个基于Web挖掘技术的信息分类模型系统 ,使用户能够对已分类的资源进行浏览、检索 ,从而更方便。
The principles related to Web mining including the de no tation of Web information, character extracting, association rules analysis and information categorization were discussed. Using all of these key technologies, a prototype of information categorization system was presented based on Web mini ng. In this system, users can browse and retrieve the categorized information so as to obtain the required information conveniently and rapidly.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2003年第7期19-21,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家高技术研究发展计划资助项目 (2 0 0 1AA14 2 170 )
关键词
WEB挖掘
文档相关性
关联规则分析
文档分类
Web mining
text relevance
association rul es
text categorization Duan Hong Postgraduate
Department of Computer. Sci. & E ng., Beijing Institute of Technology, Beijing 100080, China.