Imbalanced data classification based on diverse sample generation and classifier fusion-Reference-Cited by-同舟云学术

Imbalanced data classification based on diverse sample generation and classifier fusion

Published:2021-04-12 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Zhai Junhai^ORCID,Qi Jiaxing,Zhang Sufang

Funder

the national natural science foundation of China

the key R&D program of science and technology foundation of Hebei Province

the natural science foundation of Hebei Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-021-01321-9.pdf

Reference58 articles.

1. Japkowicz N (2000) The class imbalance problem: significance and strategies. In: Proceedings of the 2000 international conference on artificial intelligence, pp 111–117

2. Malhotra R, Kamal S (2019) An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data. Neurocomputing 343:120–140

3. Zhou J, Liu Y, Zhang TH (2019) Fault diagnosis based on relevance vector machine for fuel regulator of aircraft engine. Int J Mach Learn Cybern 10(7):1779–1790

4. Dhingra K, Yadav SK (2019) Spam analysis of big reviews dataset using fuzzy ranking evaluation algorithm and Hadoop. Int J Mach Learn Cybern 10(8):2143–2162

5. Wang S, Yao X (2012) Multiclass imbalance problems: analysis and potential solutions. IEEE Trans Syst Man Cybern Part B Cybern 42(4):1119–1129

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