Identifying interesting visitors through Web log classification

Web site owners have trouble identifying customer purchasing patterns from their Web logs because the two aren´t directly related. Thus, organizations must understand their customers´ behavior, preferences, and future needs. This imperative leads many companies to develop a great many e-service systems for data collection and analysis. Web mining is a popular technique for analyzing visitor activities in e-service systems. It mainly includes Web text mining, Web structure mining and Web log mining. Our Web log mining approach classifies a particular site´s visitors into different groups on the basis of their purchase interest.