摘要
本文对决策树数据挖掘方法进行分析和比较,并应用该分类方法对网页文本进行分类,仿真实验结果证明决策树算法在文本分类研究领域有着广阔的应用前景.
This paper analyzed and compared the decision tree method for data mining,and applied it to the classification of web text, simulation experimentation results proved that the decision tree classification algorithm in the text classification field had broad application prospects.
出处
《吉林师范大学学报(自然科学版)》
2008年第1期54-56,共3页
Journal of Jilin Normal University:Natural Science Edition
基金
吉林省科技发展计划项目(20050523)
关键词
决策树
文本分类
CA.5
decision tree
text categorization
C4.5