IR
Web page classification based-on a least square support vector machine with latent semantic analysis
Zhang, Yong; Fan, Bin; Xiao, Long-Bin
2008
会议名称5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
会议录名称Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
卷号2
页码528-532
会议日期October 18, 2008 - October 20, 2008
会议地点Jinan, Shandong, China
出版者IEEE Computer Society
摘要Chinese web page classification(WPC) has been considered as a hot research area in data mining. In order to effectively classify web pages, we present a web page categorization based on a least square support vector machine(LS-SVM) with latent semantic analysis (LSA) . LSA uses Singular Value Decompostion(SVD) to obtain latent semantic structure of original term-document matrix solving the polysemous and synonymous keywords problem. LS-SVM is an effective method for learning the classification knowledge from massive data, especially on condition of high cost in getting labeled classical examples. We adopt a novel method of web page expression, and make use of summarization algorithm to reduce the noise of web pages. A preliminary experimental comparison is made showing encouraging results. © 2008 IEEE.
关键词Data mining Fuzzy systems Semantics Support vector machines Websites Document matrices Experimental comparison Latent Semantic Analysis Latent semantics Least square support vector machines Massive data Singular value decompostion Web page classification
DOI10.1109/FSKD.2008.259
收录类别EI
语种英语
EI入藏号20090211845653
EI主题词Semantic Web
来源库Compendex
分类代码723 Computer Software, Data Handling and Applications - 723.2 Data Processing and Image Processing - 961 Systems Science
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文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/116564
专题兰州理工大学
作者单位School of Computer and Communication, Lanzhou University of Tech., Lanzhou 730050, China
推荐引用方式
GB/T 7714
Zhang, Yong,Fan, Bin,Xiao, Long-Bin. Web page classification based-on a least square support vector machine with latent semantic analysis[C]:IEEE Computer Society,2008:528-532.
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