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基于最小距离原则的网络流分类

Network flow classification based on minimum distance principle
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摘要 据网络流具有24 h周期性变化的特点,介绍了一种通过统计推理来计算分类阀值,且基于最小距离原则的两次分类网络流的方法。此方法具有实时性、计算复杂度低、可扩展性好等特点。 According to the 24-hour periodical changes of the network flow,we introduce a method in which the classification threshold is calculates through statistical deduction and the network is categorizes two times based on the Minimal Distance Principle（MDP）.It has the features of real-time,simplicity and extensibility.
作者 吴海飞 吴小花 刘宣 王寅同
机构地区 长春工业大学计算机科学与工程学院
出处 《长春工业大学学报》 CAS 2011年第4期409-412,共4页 Journal of Changchun University of Technology
关键词 距离 网络流 分类 阀值 distance network flow classification threshold.
分类号 TP393.08 [自动化与计算机技术—计算机应用技术]
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参考文献24

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二级参考文献38

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共引文献56

长春工业大学学报
2011年 第4期

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