摘要
随着Internet的日益剧增,如何有效地对浩如烟海、形态各异的网页进行有效分类,以便人们能快速准确地获取所需的信息,已成为网络应用的一个重要的研究领域。本文在分析总结网页分类特征的基础上,提出了一种改进的基于特征选择的网页分类方法。该方法能够改善网页分类的精度,对此通过实验进行了验证。
With the great increase of Intemet, it is becoming an important network application that classify the large amount and various of Web pages so that we can get the information quickly and accurately. At first in the paper,we give an analysis and summary on web pages classification feature, and then we present an advanced web page classification method based on feature extraction. Using this method, we can improve the precision of web page classification. As a resuh,we also give a test and verification.
出处
《常熟理工学院学报》
2005年第4期106-108,115,共4页
Journal of Changshu Institute of Technology
关键词
网页分类
特征抽取
χ^2统计量法
web page classification
feature extraction
a method of χ^2 statistics amount