Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-linear Projection Techniques - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Eduardo de la Hoz Correa, Andrés Ortiz, Julio Ortega, Emiro de la Hoz Franco. Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-linear Projection Techniques. In Jeng-Shyang Pan, Marios M. Polycarpou, Michal Wozniak, André C. P. L. F. Carvalho, Héctor Quintián-Pardo, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings. Volume 8073 of Lecture Notes in Computer Science, pages 103-111, Springer, 2013. [doi]

This author has not been identified. Look up 'Eduardo de la Hoz Correa' in GoogleThis author has not been identified. Look up 'Andrés Ortiz' in GoogleThis author has not been identified. Look up 'Julio Ortega' in GoogleThis author has not been identified. Look up 'Emiro de la Hoz Franco' in Google

runs on WebDSL