A combined approach to tackle imbalanced data sets
Bikash Kanti Sarkar, Shib Sankar Sana, Kripasindhu S. Chaudhuri · International Journal of Hybrid Intelligent Systems · 2012
Learning with imbalanced data causes high error-rates. Several approaches have been developed for addressing this problem. In this paper, a new learning model, integrating the C4.5 classifier and evolutionary algorithms, is introduced. To strengthen