DocumentCode :
1804693
Title :
A method for web documents clustering based on dynamic concept
Author :
Wang, Yunhua ; Ke, Huiyan
Author_Institution :
Sch. of Comput., Wuhan Univ., Wuhan, China
Volume :
4
fYear :
2011
fDate :
24-26 Dec. 2011
Firstpage :
2183
Lastpage :
2187
Abstract :
Conceptual clustering can be used to solve the lack of domain knowledge or incompleteness. According to the organizational structure and characteristics of web documents subject information, and based on the conceptual clustering techniques, the paper proposes and implements the dynamic concept clustering algorithm and merge algorithm for web documents clustering, and proves the superiority of these algorithms by analyzing the efficiency and clustering accuracy.
Keywords :
Internet; document handling; conceptual clustering; dynamic concept; web documents clustering; Electrostatic discharges; clustering; concept; dynamic concept; subject information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6182409
Filename :
6182409
Link To Document :
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