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
         
        
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
         
        
            Conference_Location : 
Harbin
         
        
            Print_ISBN : 
978-1-4577-1586-0
         
        
        
            DOI : 
10.1109/ICCSNT.2011.6182409