基于Web的文本挖掘系统的研究与实现

1.引言 60年代,大的物理流伴随着大信息流。传统的文件方式不能适应信息处理的需求,因此出现了数据库技术。90年代,人类积累的数据量以高于每月15％(或每年5.3倍)的速度增加,但是数据海洋不能产生决策意志,为了进行决策,人们不断地扩大数据库能力,搜集海量数据,但这使得决策者更难于决策,因此出现了数据挖掘技术,以便从数据库中发现知识。数据挖掘技术包括特征、分类、关联、聚类、偏差、时间序列、趋势分析等。

The Research and Development of Text Mining System Based on Web

With the development of network technology, the spread of information on Internet becomes more and more quick. There are many types of complicated data in the information ocean- How to acquire useful knowledge quickly from the information ocean is the very difficult. The Text Mining based on Web is the new research field which can solve the problem effectively. In this paper, we present a structure model of Text Mining and research the core arithmetic - Classification arithmetic. We have developed the Text Mining system based on Web and applied it in the modern long-distance education. This system can automatically classify the text information of education field which is collected from education site on Internet and help people to browser the important information quickly and acquire knowledge.