机译:基于SVM的机器学习方法,用于准确的互联网流量分类
Center for Intelligent and Networked Systems, TNLIST Lab, Tsinghua University, Beijing 100084, China;
rnCenter for Intelligent and Networked Systems, TNLIST Lab, Tsinghua University, Beijing 100084, China;
rnCenter for Intelligent and Networked Systems, TNLIST Lab, Tsinghua University, Beijing 100084, China MOE KLINNS Lab and SKLMS Lab, Xi'an Jiaotong University, Xi'an 710049, China;
rnCollege of Economics and Management, Beijing Jiaotong University, Beijing 100044, China Department of Information Technology and Decision Science, Old Dominion University, Norfolk, VA 23529, USA;
internet traffic; network traffic classification; machine learning; feature selection; SVM;
机译:用于基于流量的准确网络流量分类的机器学习算法:评估和比较
机译:基于机器学习的互联网流量分类方法综述
机译:基于流量的统计属性和机器学习的互联网流量分类
机译:基于SVM方法准确分类Internet流量
机译:使用机器学习的Internet和Tor交通分类
机译:利用来自数据挖掘和机器学习文献的方法进行疾病分类和预测:一种案例研究检查心力衰竭子类型的分类
机译:使用机器学习的加密互联网流量的新分类方法