A novel approach for sequential pattern mining by using genetic algorithm

Abstract

Web Usage Mining can be described as the discovery and analysis of user access pattern through mining of log files and associated data from a particular websites. Huge Number of visitors interact daily with web sites around the world. Huge amount of data are being produced and these in order could be very helpful to the company in the field of compliant customer's behaviors'. The world wide web contains increasing amount of websites which in turn contain increasing number of web pages. When a user visits a new website, it has to go through large number of web pages to meet their necessities. Web usage mining is the procedure of removing useful information from server logs. Hence, this work discovers sequential patterns of web files using genetic algorithm. This approach can be used to analyze the recent visitor's trend and lead to the creation of repeated and most visited pages. The purpose of using genetic algorithm is to find optimal sequential web pages.