The Application of Improvement Association Rules Algorithm in E-Commerce
Linying Xu · Microprocessors · 2008
A large number of users accessing information are saved in Web log data,and Web Log Mining is used to discover useful patterns and knowledge from the system log information and the registration data of the users.This paper first introduces the basic flow of Web log mining,then emphasized to analyze how make use of the the improvement association rules algorithm to find the frequent access path and rate of page interest and provided the basis for the characteristic recommendation system model,Thus confirmed carrying on the excavation to the Web log data has the very important and realistic meaning.