ANALYSIS OF WEB USAGE USING APRIORI AND FP- GROWTH DATA MINING ALGORITHMS

Abstract

Web mining is the application of data mining techniques to discover patterns from the World Wide Web. The goal of web mining is to capture, model, and analyze the behavioral patterns and profiles of users interacting with a Web site. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis. It is an important technology for understanding user’s behaviors on the web. Web server data corresponds to user logs are the collection of web server. The data collected at the web server includes IP address, Page reference, Access time and Memory usage. The main purpose of this research is the
comparison of web sites service and performance of time and memory usage. The comparison can be implemented using the Apriori and FPgrowth Algorithm.