TY  - CHAP
AU  - Choi, B.
AU  - Yao, Z.
A2  - Chu, Wesley
A2  - Young Lin, Tsau
T1  - Web Page Classification
T2  - Foundations and Advances in Data Mining
PB  - Springer
CY  - Berlin / Heidelberg
PY  - 2005/
VL  - 180
IS  - 
SP  - 221
EP  - 274
UR  - http://dx.doi.org/10.1007/11362197_9
M3  - 10.1007/11362197_9
KW  - classification
KW  - page
KW  - bachelor:2011:bachmann
KW  - web
L1  - 
SN  - 978-3-540-25057-9
N1  - SpringerLink - Abstract
N1  - 
AB  - 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.
ER  -