DocumentCode :
2166390
Title :
Cascade centroid-based model on web pages classification
Author :
Wu, Huaqiong ; Ye, Qiuyong ; Song, Jihua
Author_Institution :
Department of Information Science and Technology, Beijing Normal University, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
1899
Lastpage :
1902
Abstract :
A lot of factors will affect the performance of the classification. In this paper we point out how the differences of training and test documents will affect the performance of the web pages classification, and then we put forward a cascade model to reduce the impact. The experiment shows that this model enhanced the applicability and accuracy.
Keywords :
Biological system modeling; Information science; Support vector machine classification; Text categorization; Training; Web pages; cascade; centroid-based; classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5691953
Filename :
5691953
Link To Document :
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