Research And Design On Mining Association Rules Of Web Based On Genetic Algorithm

This paper presents a method of clustering on Web users and analysis of association based on Genetic Algorithm, which does research on interactive data between a Web server and its users to find out implicit rules and knowledge. Through data mining and genetic algorithm ,it aims to get cluster partition and association rules that descripes the Web users behaviour and can proivde knowledge for personal services.The system discussed in this paper gets data from Web logs and Web site topology. By analyzing the topology of web site and clustering technology which is based on genetic algorithm ,it implements clustering the Web users and mining the association rules of cluster users. It applies genetic algorithm, incremental mining technology to trace users access behaviour and optimizes association rules that have been just mined, and forecast capable association rules which improves its precision and adaptability.Finally,this paper gives out the data analysis of expriment and summarizes the characteristics of genetic mining .Then it expects what we can do in the further reserarch work.