Studying of a Clustering Method for User Sessi on Based onFeature Elements Set
Zhiping Jia · Microelectronics & Computer · 2005
A new fuzzy clustering algorithm of web session is presented based on the analysis of the drawbacks of traditional methods. Firstly, combine both the user's viewing times and viewing time for a page and maps it into a property value of web access. Then, a User Sessions are descended by extracting the feature elements from a original user session. Finally, the similar user sessions group by fuzzy algorithm. This algorithm is proved to have better accuracy, fewer CPU time and better scalability than others by the experiments. 1.