一种基于粗糙集的网页分类方法

Internet的迅速发展带来了一个新的问题，如何有效，迅速地从浩瀚的Web网页中找到所需要的信息，机器学习的发展给这个问题的解决提供了一个新的方向，本文将粗糙集理论应用于网页分类，提出了一种基于粗糙集的决策表约简的增量式学习算法，并利用该算法实现了一个Web网页的分类器，实验结果表明该分类器具有良好的性能。

A Rough Set Method for Web Classification

The rapid development of the Internet brings a new problem, which is how to rapidly and effectively retrieve needed information from vast number of web pages. The progress of machine learning techniques shows a new direction of solving this problem. In this paper, a incremental learning algorithm of decision Tablereduction based on rough set theory is proposed. Based on the algorithm, a classifier of web pages is realized. It is shown by our experiments that this classifier can acquire good performance.