Comparison of Pre-fetched Pages Before and After Path Completion

Abstract: In this study we uses an approach for increasing web performance by analyzing and predicting the user behavior from user access log, identifying the missing paths in the logs and completing the same using a web structure so as to enhance the accuracy of web usage mining. This paper uses a simulated example to compare the result of the Pre-fetched pages after completing the missing paths in the logs using web structure and if this paths are not completed. The result shows the accuracy of the predicted and pre-fetched pages has improved after completing the missing paths in the logs. This paper uses Markov Model 1st order and 2nd order to predict most frequently accessed pages