Web Page Prediction using Hybrid Model
نویسنده
چکیده
One of the most important internet challenges in coming years will be the introduction of intelligent services and a more personalized environment for user. In this paper web page prediction is presented. We use several classification techniques, namely, Support Vector Machines (SVM), Association Rule mining (ARM), and Markov model in WWW prediction. We proposed a hybrid model by combining two or more of them using Dempster’s rule [2] to enhance the efficiency of prediction Model. KeywordsMarkov Model, Support Vector Machine(SVM), Association Rule Mining(ARM), Dempster Shafer Theory, and Hybrid Model.
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