Data Mining In Adaptive Website Of The Applied Research

The growth rate of the current network information stunning, vast amounts of data so that every network user at a loss. For the current status of large data networks, data mining technology is introduced. This paper proposes the use of the site to the network data mining techniques to obtain the user’s browsing patterns, such as knowledge, and use these rules, knowledge purposeful efficiency and enhance the site affinity.The main contents:First, the article describes data mining, and data mining technology in the log mining are introduced and analyzed, focusing on the analysis and study of the data mining process data preprocessing operation. Second, the paper in the traditional association rules algorithm based on improved, the main idea is:to reduce the association rules algorithm to multiple data sources, redundant scanning, in order to improve the operational efficiency of the algorithm change. Third, the article also uses the commonly used data mining algorithms, the maximum forward reference algorithm, session identification and the EM clustering algorithm. The use of these algorithms can help us with better and faster access to care, and we may need information content, which greatly improves the vast amounts of data we need to extract the knowledge efficiency. Fourth, in the above algorithms and techniques on the basis of this paper, adaptive websites analyzed and studied, and data mining techniques and adaptive web systems combine adaptive website system presents the basic framework. Then he pointed out that the general lack of adaptive web systems, and gives some suggestions for improving. Fifth, we propose a technique and Session Cookies combined approach to solve the difficult and inaccurate user identification problems; Moreover, let adaptive website for the browser automatically provides dynamic links, improve your site’s capabilities and friendly personalized service degrees. Sixth, the paper said data mining algorithms, adaptive systems and website performance analyzed. Finally, the article summarizes the main thesis work content, site of the current system of adaptive problems put forward opinions and suggestions.In summary, this paper data mining techniques, association rule algorithms and some Web technologies way to extract data from the mass of the needs and concerns of the people of knowledge or rules, providing people with a basis for decision making, enhance adaptive website system adaptability and intelligence. Therefore, based on data mining technology is the future of adaptive website system a hot research field.