KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning

Author:

Hu Jun,Li Yang,Yan Wu-Xia,Yang Jing-Yu,Shen Hong-Bin,Yu Dong-Jun

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference51 articles.

1. Several SVM ensemble methods integrated with under-sampling for imbalanced data learning;Lin,2009

2. I. Mani, I. Zhang, kNN approach to unbalanced data distributions: a case study involving information extraction, in: Proceedings of Workshop on Learning from Imbalanced Datasets, 2003.

3. A learning framework for online class imbalance learning;Wang;Comput. Intell. Ensemble Learn.,2013

4. Sample subset optimization techniques for imbalanced and ensemble learning problems in bioinformatics applications;Yang;IEEE Trans. Cybern.,2013

5. MWMOTE—majority weighted minority oversampling technique for imbalanced data set learning;Barua;IEEE Trans. Knowl. Data Eng.,2014

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