摘要: 给出了Web文本挖掘系统WTMS的系统总体结构图,开发并实现了基于SOM的Web文档层次聚类算法。同时结合现代远程教育背景实现了Web文本挖掘的原型系统。该系统可以对各类远程教育站点上收集的文本资料信息自动进行聚类挖掘,从而帮助人们快速进行文本 信息导航,获取重要的知识。
关键词:
Web文本挖掘,
知识发现,
文本聚类
Abstract: This paper describes the system global structure chart of Web text mining system and programming with the central arithmetic Web text clustering analysis based on SOM. It integrates background on modern long distance education to realize Web text mining system. The system can cluster automatically the text resource information collected from all kinds of long distance education websites, accordingly it can help people to gain important knowledge rapidly as a text information leader.
中图分类号:
朱克斌,唐菁,杨炳儒. Web文本挖掘系统及聚类分析算法[J]. , 2004, 30(13): 142-.
ZHU Kebin1,TANG Jing2,YANG Bingru1. Web Text Mining System and Clustering Analysis Algorithm[J]. , 2004, 30(13): 142-.