Active learning for class imbalance problem
Şeyda Ertekin, Jian Huang, Clyde Lee Giles · 2007
The class imbalance problem has been known to hinder the learning performance of classification algorithms. Various real-world classification tasks such as text categorization suffer from this phenomenon. We demonstrate that active learning is capable of solving the problem.