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《Journal of Hubei Automotive Industries Institute》 2009-01
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Application of SMO Algorithm in Spam Filtering System

Yang Lihua,Li Baolin(School of Economics and Management,Hubei Automotive Industries Institute,Shiyan 442002,China)  
To overcome the speed shortcomings of traditional support vector machine algorithm in processing large dataset,sequential minimum optimized algorithm for spam filtering is proposed.The result shows the model is faster on training time and better on filtering spam.
【CateGory Index】: TP393.098
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【Citations】
Chinese Journal Full-text Database 5 Hits
1 Yang Lihua,Li Baolin(Dept.of Information Management,Hubei Automotive Industries Institute,Shiyan 442002,China);Research and Realization on Preprocessing Method for Spam Filtering System[J];Journal of Hubei Automotive Industries Institute;2007-03
2 Wang Xiaodan Wang Jiqin(Dept.of Computer Engineering,Missile Institute,Air Force Engineering University,Sanyuan,Shanxi713800);A Survey on Support Vector Machines Training and Testing Algorithms[J];Computer Engineering and Applications;2004-13
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【Co-references】
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1 XIAO Ting,TANG Yan School of Computer & Information Science,Southwest University,Chongqing 400715,China;Improved χ~2 statistics method for text feature selection[J];Computer Engineering and Applications;2009-14
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【Secondary Citations】
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1 He Jianbing1 He Qing2 Shi Zhongzhi2 1(College of Software Engineering,Graduate School of The Chinese Academy of Sciences,Beijing 100049) 2(The Key Laboratory of Intelligent Information Processing,Institute of Computing Technology, Chinese Academy of Sciences,Beijing 100080);Research of Multi-layer Text Categorization Method Based on SMO[J];Computer Engineering and Applications;2006-13
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