Based On Web-log Frequent Browsing Paths Mining And Technology Analysis

Web-log records the wealth information when the users visit this web site. The research on mining frequent browsing path has been a hot topic in the web usage mining,which has a practical significance in business decisions of E-business Websites.The design of this combination of domestic a famous site, through the study on its server logs, and analysis and comparison on frequent path algorithm. This paper theoretically boldly put forward a new method to visit frequently browse path, namely to the Web log mining, user, the interest is calculated by arithmetic method, and the basic elements of interest by browsing, according to browse tree as the algorithm.Mining method can realize the data structure of the data. Described the realization process is frequent path algorithm runs. Application of frequent browsing path algorithm can make a web site at the same time can adjust the structure, so as to better meet consumer demand and make the site navigation and, and restructuring the structure of the web site provides strong feasibility scheme.The algorithm is used, not only in the method of solving the page interest degree improve the innovative methods, and improves the accuracy and reasonable implementation path. After the experiment, the algorithm is the result of the authenticity and integrity. At the same time, through the practical application, also received good results.