NI-MWMOTE: An improving noise-immunity majority weighted minority oversampling technique for imbalanced classification problems

• New noise-immunity oversampling method for imbalanced classification problems. • It adaptively processes noise based on probability and misclassification error. • It simplifies the minority class clustering process using unsupervised clustering. • It adaptively determines the sub-cluster size bein...
Ausführliche Beschreibung

• New noise-immunity oversampling method for imbalanced classification problems. • It adaptively processes noise based on probability and misclassification error. • It simplifies the minority class clustering process using unsupervised clustering. • It adaptively determines the sub-cluster size being sampled using misclassification error. • Generated synthetic instances using MWMOTE improved subsequent classification. Ausführliche Beschreibung