A Rough Set Method for Web Classification
Tao Li · Mini-micro Systems · 2003
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.