期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：2
页码：2060
DOI：10.15680/IJIRCCE.2016.0402057
出版社：S&S Publications
摘要：This paper emphasizes the user future request prediction using small number of previous log files without affecting the prediction accuracy level. The web usage mining techniques are used to analyze the web usage patterns for a web site. The user access log is used to fetch the user access patterns. The access patterns are used in the prediction process. Markov model and all KthMarkov model are used in Web prediction. The framework can improve the prediction time without compromising prediction accuracy. The proposed system is to compare the prediction accuracy with the markov model, ARM, ARM-SF. The system improves the accuracy with scalability considerations. Finally the result shows which would have better prediction accuracy
关键词：Future Request Prediction; log files with small size; Association rule mining (ARM); Association rule mining with statistical features (ARM-SF); Markovmodel
