A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano

Class imbalance poses new challenges when it comes to classifying data streams. Many algorithms recently proposed in the literature tackle this problem using a variety of data-leve…