数据挖掘与决策树J48算法在文本分类中的应用

Data Mining And Decision Tree J48 Algorithm Applied in Text Classification

为了应对信息社会数据急剧增长,获得用户感兴趣或有益的数据,必须对数据进行处理,数据挖掘技术就是应这种需要而发展的.数据挖掘要取得有用数据,必须对数据进行种分类、聚类和关联三种不同的任务处理.对于文本信息的分类是数据挖掘的一个主要应用,而决策树算法利用自身优势和分类效率,在文本处理中有巨大的应用前景,尤其是J48算法应用与文本信息的分类有广泛的应用价值.

Rapid growth data in response to the information society, for users interested in or useful data, data must be to deal with,data mining technology is the application of this kind of need and development. Data mining to get useful data, must be the data types of classification, clustering, and associated processing three different kinds of tasks. For text information classification is one of the main application of data mining and decision tree algorithm using their own advantages and the classification efficiency, and has great application prospect in text processing, especially J48 algorithm with the classification of text information has extensive application value.