Distance-based arranging oversampling technique for imbalanced data

Author:

Dai Qi,Liu Jian-wei,Zhao Jia-Liang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference46 articles.

1. He HB, Garcia EA (2009) Learning from imbalanced data. IEEE Trans Knowl Data Eng 21(9):1263–1284

2. Japkowicz N, Stephen S (2002) The class imbalance problem: a systematic study. Intell Data Anal 6(5):429–449

3. Somasundaram A, Reddy S (2019) Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance. Neural Comput Appl 31(1):3–14

4. Rajadurai H, Gandhi UD (2020) A stacked ensemble learning model for intrusion detection in wireless network. Neural Comput Appl 34:1–9

5. Feng S, Keung J, Yu X, Xiao Y, Bennin KE, Kabir MA, Zhang M (2020) COSTE: Complexity-based Oversampling Technique to alleviate the class imbalance problem in software defect prediction. Inf Softw Technol 129:106432

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