摘要
计算机互联网上的信息量迅猛增长,信息的海量化越来越突出,如何获取用户所需的信息已日益突显出其重要性。该文挖掘技术能快速、有效地从大量数据中抽取有价值的信息,而Internet成为一个拥有大量Web文本资源的巨型数据库,大量异构、非结构化的Web文本对数据挖掘技术提出新的挑战。文章介绍了Web文本挖掘的一般流程,重点分析了Web文本挖掘中的几种关键技术。
With a great scale popularization of www and improvement of the information of corporation,how to obtain these big capacities of users information has been the important research subject.Technique of Text Mining can quickly and effectively abstract the useful information from the many data.Internet has become a giant data of web text document,but a great scale of Isomerism and non-structure web text produces new Challenge to data Mining.The paper introduces the process of web text mining,emphatically analyzes the related technologies.
出处
《微型电脑应用》
2009年第7期54-56,6,共3页
Microcomputer Applications
