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Mining Frequent Patterns from Network Data Flow
Lin, Xin ; Deng, Zhi-Hong ; Ma, Hao ; Tang, Shi-Wei ; Zhang, Bei
2009
英文摘要The main objective of network monitoring is to discover the event patterns that happen frequently. In this paper, we have intensively studied the techniques used to mine frequent patterns from network data flow. We developed a powerful class of algorithms to deal with a series of problems when min-ing frequent patterns from network data flow. We experimentally evaluate our algorithms on real datasets collected from the campus network of Peking Uni-versity. The experimental results show these algorithms are efficient.; Computer Science, Artificial Intelligence; CPCI-S(ISTP); 0
语种英语
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/293214]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Lin, Xin,Deng, Zhi-Hong,Ma, Hao,et al. Mining Frequent Patterns from Network Data Flow. 2009-01-01.
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