5 Web Page Classification*

Ben Choi and Zhongmei Yao

Computer Science, College of Engineering and Science,
Louisiana Tech University, Ruston, LA 71272, USA
pro@BenChoi.org, zya001@latech.edu

ABSTRACT

This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page classification: subject based and genre based classifications. It then describes the state of the art techniques and subsystems used to build automatic web page classification systems, including web page representations, dimensionality reductions, web page classifiers, and evaluation of web page classifiers. Such systems are essential tools for Web Mining and for the future of Semantic Web.


* This research was supported in part by a grant from the Center for Entrepreneurship and
   Information Technology (CEnIT),
Louisiana Tech University.

Book Chapter on
Recent Advances in Data Mining and Granular Computing (mathematical aspects of knowledge discovery), Springer-Verag (in press) 2004.

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