Web page classification based on Semi-supervised Naïve Bayesian EM algorithm
Chen Shaohong, Zhixing Wang · 2011
Web Classification is one of the hot researches in Web mining field. Within the exploded Internet information circumstance, most pages are unlabeled. This paper has proposed a Naïve Bayesian EM algorithm classification method based on the feature of Semi-supervised machine learning. The method used Hierarchical Clustering EM framework to train Naïve Bayesian Classifier iteratively. The result of the experiment proved that the method introduced in the paper shows good effect of Web classification.