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The Application of Multi-Class Support Vector Machines on Intrusion Detection System with the Feature Selection using Information Gain

机译：多级支持向量机应用于使用信息增益与特征选择的入侵检测系统

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Jihan Maharani; Zuherman Rustam;
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年度 2018
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1. Application of multi-class support vector machines for power system on-line static security assessment using DT - based feature and data selection algorithms [J] . M. Mohammadi, G.B. Gharehpetian Journal of Intelligent and Fuzzy Systems . 2009,第3期

机译：基于DT特征和数据选择算法的多分类支持向量机在电力系统在线静态安全评估中的应用。
2. Application of multi-class support vector machines for power system on-line static security assessment using DT - based feature and data selection algorithms [J] . M. Mohammadi, G. B. Gharehpetian Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2009,第3期

机译：基于DT特征和数据选择算法的多分类支持向量机在电力系统在线静态安全评估中的应用。
3. Improving Intrusion Detection System by Developing Feature Selection Model Based on Firefly Algorithm and Support Vector Machine [J] . Wathiq Laftah Al-Yaseen IAENG Internaitonal journal of computer science . 2019,第4PTa512a644期

机译：基于萤火虫算法的特征选择模型改进入侵检测系统
4. The Application of Multi-Class Support Vector Machines on Intrusion Detection System with the Feature Selection using Information Gain [C] . Zuherman Rustam, Jihan Maharani Annual International Conference on Mathematics, Science, and Education . 2018

机译：多级支持向量机应用于使用信息增益与特征选择的入侵检测系统
5. Variable selection in multi-class support vector machine and applications in genomic data analysis. [D] . Huang, Lingkang. 2008

机译：多类支持向量机中的变量选择及其在基因组数据分析中的应用。
6. Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines [O] . Deepak Ghimire, Joonwhoan Lee 2013

机译：使用多类AdaBoost和支持向量机的图像序列中基于几何特征的面部表情识别
7. Comparison of fuzzy robust Kernel C-Means and support vector machines for intrusion detection systems using modified kernel nearest neighbor feature selection [O] . Z. Rustam, N. Olivera 2018

机译：使用修改的内核最近邻特征选择的模糊鲁棒内核C型和支持向量机的入侵检测系统的比较

The Application of Multi-Class Support Vector Machines on Intrusion Detection System with the Feature Selection using Information Gain

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