Webpage prediction for services scale locations

Abstract-In this project we have maintain the client information and user which website using. Login Admin have retrieve the client information from sql. We have analysis the client website information with data mining concept. Every client must register. Admin view the minimum and maximum user’s client website usage and rank the website. Admin upload the website data set for users. Every user must login for search website. Our project a web search engine is a software system that is designed to search for information on the World Wide Web. The search results are generally presented in a line of results, often referred to as search engine results pages . The information may be a mix of web pages. Web pages upload by admin. We get the client mind set with using data
mining. Our simulation result will get minimum user and maximum user from client information. Our major output User count, Visitor count, Find the minimum and maximum internet user. The goal of web usage mining is to get into the records of the servers (log files) that store the transactions that are performed in the web in order to find patterns revealing the usage the customers. A web server is dispenses the web pages as they are requested. It is
easily determined that usage mining has valuable uses to predict web user behaviors.