AdaBoost ranking results improvement by pairwise classifiers for web page classification

被引：0

作者：

Ga̧ciarz T. ^{[1
]}

Czajkowski K. ^{[1
]}

Niebylski M. ^{[1
]}

机构：

[1] Institute of Telecomputing, Faculty of Physics, Mathematics and Computer Science, Cracow University of Technology

来源：

Advances in Intelligent and Soft Computing | 2011年 / 103卷

关键词：

AdaBoost; classification; features extraction; Web page;

D O I：

10.1007/978-3-642-23169-8_43

中图分类号：

学科分类号：

摘要：

The article concerns the analysis of information describing the web pages. The aim of the analysis is to support the process of their classification. Pages belonging to the specific class are characterized by the similar 'style' in terms of the form or the type of content presentation. Various characteristics are taken into account including inter alia, structural, visual, text, web and links features. During the construction of classifiers the AdaBoost algorithm was applied to create ranking list of classifiers. Then the pairwise classifiers were used to improve final classification. The paper presents the implementation of this solution and the results of experiments. © 2011 Springer-Verlag Berlin Heidelberg.

引用

页码：393 / 400

页数：7