期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：5
页码：2170-2176
出版社：Engg Journals Publications
摘要：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.
关键词：Markov Model; Support Vector Machine(SVM); Association Rule Mining(ARM); Dempster Shafer Theory; and Hybrid Model.
