Web Mining for Efficient Web Page Navigation Prediction Model

Web mining is the utilization of information mining systems to discover patterns from the World Wide Web. Web mining can be broadly classified in to three types-Web usage Mining, Web content Mining and Web structure Mining. Web mining is a new developing research discipline and also it is subdivision of data mining, it has attracted a great deal of attention in the information technology and society, due to the availability of huge amount of heterogeneous data. The Process of web server log files in order to extract patterns to web page prediction with the help of Apriori algorithm. The prediction of web page and user navigation behavior and this technique the web link prediction this the process to predict the Website page to be gone by a client in view of the pages visited by the user. The target of these web mining is to foresee the web item to prefetched with high precision and serves to great prescient exactness with various log record. In the web mining, pre-fetching and prediction is done by the user by preprocessing to access the log files. The approaches result in prediction of better web page and navigation behavior and it also help to decrease the accuracy time. So that the web-prefetching method lessens the dormancy of web & predict the object to pre-fetched with high accuracy and achieve the better accuracy of different log file.