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The construction of digital campus gives undergraduates a more convenient way to access the Internet and there have been stored massive network data. In this paper, use clustering algorithm and log file analysis to analyze these data to understand undergraduates' network status and the relationship between network status and academic performance. The result could be helpful to provide reference for network administrator and counselor, and give a new way out for analyze undergraduates' network usage.

Analysis of Undergraduates' Network Status Based on Data Mining