INTRUSION DETECTION BASED ON IMPROVED LEAST SQUARES MULTI-CLASSIFICATION TWIN SUPPORT VECTOR MACHINE

Journal of Mathematical Sciences Advances and Applications ◽

10.18642/jmsaa_7100121648 ◽

2016 ◽

Vol 39 (1) ◽

pp. 1-20

Keyword(s):

Support Vector Machine ◽

Intrusion Detection ◽

Least Squares ◽

Twin Support Vector Machine ◽

Support Vector ◽

Multi Classification

Download Full-text

Multi-category laplacian least squares twin support vector machine

Applied Intelligence ◽

10.1007/s10489-016-0770-6 ◽

2016 ◽

Vol 45 (2) ◽

pp. 458-474 ◽

Author(s):

Reshma Khemchandani ◽

Aman Pal

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Twin Support Vector Machine ◽

Download Full-text

Network intrusion detection based on the hybrid method of artificial bee colony algorithm and least squares support vector machine

Journal of Convergence Information Technology ◽

10.4156/jcit.vol8.issue6.134 ◽

2013 ◽

Vol 8 (6) ◽

pp. 1126-1132

Author(s):

Wang Lixia

Keyword(s):

Support Vector Machine ◽

Intrusion Detection ◽

Least Squares ◽

Hybrid Method ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Network Intrusion Detection ◽

Support Vector ◽

Network Intrusion

Download Full-text

Leak Detection and Location of Pipelines Based on LMD and Least Squares Twin Support Vector Machine

IEEE Access ◽

10.1109/access.2017.2703122 ◽

2017 ◽

Vol 5 ◽

pp. 8659-8668 ◽

Author(s):

Xianming Lang ◽

Ping Li ◽

Zhiyong Hu ◽

Hong Ren ◽

Yan Li

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Leak Detection ◽

Twin Support Vector Machine ◽

Support Vector ◽

Leak Detection And Location

Download Full-text

Regularized robust fuzzy least squares twin support vector machine for class imbalance learning

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9207724 ◽

2020 ◽

Author(s):

M. A. Ganaie ◽

M. Tanveer ◽

P. N. Suganthan

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Class Imbalance ◽

Twin Support Vector Machine ◽

Support Vector ◽

Imbalance Learning ◽

Class Imbalance Learning

Download Full-text

Application of multi-class classification algorithm based on twin support vector machine in intrusion detection

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.00426 ◽

2013 ◽

Vol 33 (2) ◽

pp. 426-429

Author(s):

Panpan NIE ◽

Li ZANG ◽

Leilei LIU

Keyword(s):

Support Vector Machine ◽

Intrusion Detection ◽

Classification Algorithm ◽

Twin Support Vector Machine ◽

Support Vector ◽

Multi Class Classification

Download Full-text

Multiple Instance Classification Based on Least Squares Twin Support Vector Machine

Journal of Convergence Information Technology ◽

10.4156/jcit.vol7.issue6.9 ◽

2012 ◽

Vol 7 (6) ◽

pp. 72-77 ◽

Author(s):

Liyuan Liu ◽

Yaohong ZhaoPing Zhong

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Twin Support Vector Machine ◽

Download Full-text

Network intrusion detection based on least squares support vector machine and chaos particle swarm optimization algorithm

Journal of Convergence Information Technology ◽

10.4156/jcit.vol7.issue4.20 ◽

2012 ◽

Vol 7 (4) ◽

pp. 169-174 ◽

Author(s):

Mohua Zhang ◽

Ge Li

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Intrusion Detection ◽

Least Squares ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Network Intrusion Detection ◽

Support Vector ◽

Swarm Optimization ◽

Network Intrusion

Download Full-text

Multiclass Least Squares Twin Support Vector Machine for Pattern Classification

International Journal of Database Theory and Application ◽

10.14257/ijdta.2015.8.6.26 ◽

2015 ◽

Vol 8 (6) ◽

pp. 285-302 ◽

Author(s):

Divya Tomar ◽

Sonali Agarwal

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Pattern Classification ◽

Twin Support Vector Machine ◽

Download Full-text

A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2017.11.014 ◽

2018 ◽

Vol 41 ◽

pp. 222-232 ◽

Author(s):

Duan Li ◽

Hongxin Zhang ◽

Muhammad Saad Khan ◽

Fang Mi

Keyword(s):

Support Vector Machine ◽

Spatial Pattern ◽

Least Squares ◽

Motor Imagery ◽

Twin Support Vector Machine ◽

Support Vector ◽

Common Spatial Pattern ◽

Frequency Selection ◽

Download Full-text

Binary classification with noise via fuzzy weighted least squares twin support vector machine

The 27th Chinese Control and Decision Conference (2015 CCDC) ◽

10.1109/ccdc.2015.7162214 ◽

2015 ◽

Author(s):

Juntao Li ◽

Yimin Cao ◽

Yadi Wang ◽

Xiaoxia Mu ◽

Liuyuan Chen ◽

...

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Binary Classification ◽

Weighted Least Squares ◽

Twin Support Vector Machine ◽

Download Full-text