DocumentCode :
3057804
Title :
A Web Document Retrieval Algorithm Based on Particle Swarm Optimization
Author :
Wang, Ziqiang ; Sun, Xia ; Zhang, Dexian
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou
fYear :
2007
fDate :
14-17 Sept. 2007
Firstpage :
203
Lastpage :
206
Abstract :
With advances in the computer technologies and the rapid development of Internet, information on the Internet is increasing exponentially. To efficiently retrieve relevant documents from the explosive growth of the Internet and other sources of information access, a novel Web document retrieval algorithm based on particle swarm optimization (PSO) and linear discriminant analysis (LDA) algorithm is proposed to deal this problem. Experimental results clearly demonstrate its effectiveness and efficiency.
Keywords :
Internet; document handling; information retrieval; particle swarm optimisation; statistical analysis; Internet; Web document retrieval algorithm; information access; linear discriminant analysis algorithm; particle swarm optimization; Independent component analysis; Information retrieval; Internet; Linear discriminant analysis; Particle scattering; Particle swarm optimization; Pattern recognition; Principal component analysis; Radio frequency; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications, 2007. BIC-TA 2007. Second International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4244-4105-1
Electronic_ISBN :
978-1-4244-4106-8
Type :
conf
DOI :
10.1109/BICTA.2007.4806451
Filename :
4806451
Link To Document :
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