DocumentCode :
2902672
Title :
Hierarchical Web Categorization Model Based on Fuzzy Cognitive Maps
Author :
Lee, Jingxiu ; Zhang, Weijuan
Author_Institution :
Comput. & Inf. Eng. Dept., Luoyang Inst. of Sci. & Technol., Luoyang, China
Volume :
3
fYear :
2009
fDate :
4-5 July 2009
Firstpage :
351
Lastpage :
354
Abstract :
Text categorization is an important direction of information processing, and now there are many methods of text categorization, such as Bayesian probabilistic models, vector space model, k-nearest neighbor and so on. And now most of information of web is in form of text. Therefore, this paper proposed a hierarchical model of Web categorization based on fuzzy cognitive maps, namely, using fuzzy cognitive maps (FCMs) and the thoughts of decomposition to realize hierarchical Web categorization. In that way, it can largely decrease scale and complexity, and increase categorization efficiency.
Keywords :
Internet; fuzzy set theory; text analysis; Bayesian probabilistic model; fuzzy cognitive map; hierarchical Web categorization model; information processing; k-nearest neighbor; text categorization; vector space model; Application software; Bayesian methods; Databases; Electronic mail; Fuzzy cognitive maps; Fuzzy set theory; Information processing; Space technology; State-space methods; Text categorization; Fuzzy Cognitive Maps (FCMs); Hierarchical; Web Categorization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
Type :
conf
DOI :
10.1109/ESIAT.2009.285
Filename :
5199707
Link To Document :
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