ABSTRACT
Therefore, this paper analyzes user’s access log of an enterprise management information system and gives a quantitative analysis on user’s access behavior in information systems by exploring time interval, activity, burstiness and memory of user’s access distribution. By studying the statistical properties of information system user’s access behavior, on one hand it can effectively predict the information system user’s access behavior and then it will provide the theoretical basis for the optimization and upgrading of their information systems, and it can help to expand the research situation of user’s access behavior on the other.
