A case study of wireless internet usage pattern clustering and analysis

摘要

The wireless Internet emergence gives a new class of opportunities to analyze the user behavior in the environment that is closely related to the users real lives. The rapidly growth in the wireless Internet has a significant dynamic nature which leads to the difficulty of stable analysis. From the long-term observation of wireless Internet user logs based on the user identifier unique to the wireless Internet, the author analyzes the long-term usage pattern to identify the metrics to segment various wireless Internet user behaviors. It is common to witness the drastic traffic change in the wireless Internet. It is important to identify the dynamic transitions of use patterns. The proposed method uses the number of months in which an end user shows continuous use. The results from the case study and future issues are presented.