A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion-Reference-Cited by-同舟云学术

A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion

Author:

Liu Zhen,Wang Ruoyu,Tao Ming,Cai Xianfa

Funder

National Natural Science Fund, China

Guangdong Province Natural Science Foundation

Guangdong Higher School Scientific Innovation Project

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

2. An effective network traffic classification method with unknown flow detection;Zhang;IEEE Trans. Netw. Serv. Manag.,2013

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