Imbalanced data classification algorithm with support vector machine kernel extensions
Imbalanced data classification algorithm with support vector machine kernel extensions is a scholarly work, published in 2018 in ''Evolutionary Intelligence''. The main subjects of the publication include relevance vector machine, anomaly detection, intrusion detection system, kernel, data mining, Structured SVM, artificial intelligence, computer science, support vector machine, kernel method, machine learning, pattern recognition, and algorithm. Through the simulation experiments of real data sets of artificial data set, it shows that the proposed method has higher classification accuracy and faster convergence for the uneven distribution data.