Computer Science ›› 2009, Vol. 36 ›› Issue (2): 90-94.

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LU Wei-zhou ,YU Shun-zheng (Department of Electronic and Communication Engineering,Sun Yat-Sen University,Guangzhou 510275,China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: This paper presented a Web traffic classification method based on semi-supervised clustering, which uses HMM (Hidden Markov Model) to model and analyze Web client traffic. The method first runs an unsupervised clustering process on the whole data set,and

Key words: Semi-supervised clustering, Hidden markov model, Web traffic

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