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Received:December 18, 2010 Revised:January 20, 2011
Received:December 18, 2010 Revised:January 20, 2011
中文摘要: 首先对网络服务器监测到的流数据进行采集,提出将双层结构聚类算法应用于流数据的聚类分析,进而得到校园网用户网络行为的特征,该特征对于进一步优化校园网络建设具有重要意义.
Abstract:First, this paper puts forward an algorithm of two-level aggregate, which can be applied to the analysis of flow data collected from a remote on-line monitoring system. Then, with the result of the algorithm we can get the characteristics of students' network behavior, which will have a substantial influence on advancing the construction of campus network.
keywords: network behavior clustering two-tier structure
文章编号: 中图分类号: 文献标志码:
基金项目:安徽科技学院教研项目(X201106)
引用文本:
周广新,王传安,赵海燕.基于双层结构聚类的分析网络行为.计算机系统应用,2011,20(9):86-89
ZHOU Guang-Xin,WANG Chuan-An,ZHAO Hai-Yan.Analysis of Network Behavior Based on Two-Tier Structure Clustering.COMPUTER SYSTEMS APPLICATIONS,2011,20(9):86-89
周广新,王传安,赵海燕.基于双层结构聚类的分析网络行为.计算机系统应用,2011,20(9):86-89
ZHOU Guang-Xin,WANG Chuan-An,ZHAO Hai-Yan.Analysis of Network Behavior Based on Two-Tier Structure Clustering.COMPUTER SYSTEMS APPLICATIONS,2011,20(9):86-89