International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Web usage mining is the giant field that helps to comprehend range of concepts of diverse fields. It consists of three main phases, namely data pre-processing, pattern discovering and pattern analysis. Server log files become a set of raw data where it's must go through with all the web usage mining phases to producing the final results. The growing reputation of e-commerce websites makes data mining requisite technology for several applications, especially online business competitiveness. In this paper, web usage mining combined with association rule mining and clustering algorithm to optimize the content of the web log data to optimize the content of the web log data.