【摘要】 Web信息资源中蕴含着具有巨大潜在价值的知识。人们迫切需要能够从Web上快速、有效地发现资源和知识的工具。搜索引擎不能完全满足这一要求,为此需要开发比信息检索层次更高的新技术。文中以Web文本为研究对象,着眼于将数据挖掘技术应用于Web挖掘。兼顾中英文文本,提出了一套Web文本的特征表示、特征提取及Web页面的结构化转换方法,并将粗糙集理论应用于转换后的Web文本挖掘。更多还原

【Abstract】 A tool, better than information retrieval and can promptly pick up the required knowledge from the vast volume of information in Web is researched. The Web text is considered to be the research object. Aiming to use data mining techniques on Web mining, methods for the Web text feature expression, feature selection and hypertext conversion into a structured database are proposed. These methods can be applied to both Chinese and English Web. Also, the rough set theory is used to mine the converted Web text.更多还原