Answer:please mark me as brainlist
Explanation:Abstract: The process of web usage mining is used to discover the patterns of user browsing from the web log files available on the server side of almost each and every website or in the user 's cache. By analyzing the browsing behavior of various users, next web page predictions can be made which is an important aspect of most of the websites around these days. But the prediction of future requests comes with its own set of issues which make it unreliable at times, there are some concerns with accuracy and efficiency. In this paper, we have proposed a new model for predicting the next few steps that a user may go through during their browsing activity. An algorithm designed by us is used for the Clustering process. The main aim of this algorithm is to provide more efficient and accurate results.
Keywords: Web Usage Mining, Recommendation, Prediction, Browsing Patterns, Patterns, Clustering, Preprocessing. I. INTRODUCTION
The internet has become an integral part of our lives. We use the internet for various tasks such as watching a video, sharing information, banking, shopping, socializing and much more. As a result, there is a significant increase in the amount of Web Data throughout the internet.