【摘要】 随着Internet的普及,Web信息量爆炸性的增长,数以亿计的Web页面形成了内容丰富而庞杂的WWW资源,如何从海量的数据中高效、高质量地检索到用户所感兴趣的信息资源是当前我国Internet资源挖掘的热点问题之一.将基于模糊逻辑的聚类算法FK-prototype引入到Web信息搜索中,改良了传统方法一刀切的分类处理方式,从而有效地提高了Web文档的检索质量.更多还原

【Abstract】 Recently Internet is developing rapidly,and the information in Internet is growing greatly.How to discover information of high quality efficiently from Web is an important research issue.This paper discusses the creation of such a system that uses a fuzzy cluster algorithm to search in Web documents;we evaluate our method by performing experiments over html files from Web site.The results from experiments,as described at the end of section 4,show preliminarily that the fuzzy logic based cluster algorithm can enhance search quality efficiently.更多还原