Classification algorithm for class imbalanced data based on optimized Mahalanobis-Taguchi system
Author:
Funder
National Natural Science Foundation of China
china jiliang university student research key funding project
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02929-8.pdf
Reference47 articles.
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2. Li YX, Chai Y, Hu YQ, Yin HP (2019) Review of imbalanced data classification methods. Control Decis 34:673–688
3. Priya S, Uthra RA (2020) Comprehensive analysis for class imbalance data with concept drift using ensemble based classification. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-01934-y
4. Thabtah F, Peebles D (2020) A new machine learning model based on induction of rules for autism detection. Health Informatics J 26:264–286. https://doi.org/10.1177/1460458218824711
5. Dhote S, Vichoray C, Pais R et al (2020) Hybrid geometric sampling and AdaBoost based deep learning approach for data imbalance in E-commerce. Electron Commer Res 20:259–274. https://doi.org/10.1007/s10660-019-09383-2
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