Research And Design Of Web Log Mining Based On Association Rule

Web log mining is a very important direction and domain in Web data miningarea, through analyzing and finding out the rules in the web log, it could discover therule and pattern of the potential Web users, it could be widely used in discovering thepotential customers in e-business and improve the quality and efficiency of theenterprise information portal.This article introduce the status of the development of internet and thebackground of Web data mining and systematically expatiate the technique, theoryand strategy, making a deeper discussion on the key technique of the process in Webdata mining, mainly focused on the preprocess and association rulealgorithm—Apriori, and put them into the usage of the construction of experimentsystem.In the Web log preprocessing aspect, based on the methods that have invented inthe last, the UML will be introduced into the module of UML, design the databasetable, and realize the process of the algorithm.Upon the association rule, this paper analyzes the classical character of Apriorialgorithm, finding out the disadvantage of the algorithm and raise the improvementplan.Based on the Web log mining theory and technique, combined with the currentmainstream research, design a system named WebLogMiner, and put it in use ofanalyzing the Web log, retrieve the data as for the evidence of the next works.