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