Research on Web Usage Mining and Its Application in E-Commerce
Mining business Website customers frequent access patterns,can provide complementary decision support on improving the Website personalized business service level and quality of service.Based on the log data of Web Server,researches on mining customers frequent access patterns.According to the order and continuity of customers access sequence,puts forward four points of improvement on Apriori algorithm.With the application of the improved Apriori algorithm on Web usage mining,it obviously enhance the efficiency of the algorithm.