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Cluster-based under-sampling with random forest for multi-class imbalanced classification

Md. Yasir Arafat, Sabera Hoque, Dewan Md. Farid. Cluster-based under-sampling with random forest for multi-class imbalanced classification. In 11th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2017, Malabe, Sri Lanka, December 6-8, 2017. pages 1-6, IEEE, 2017. [doi]

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