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Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification Journal article
Jinyan Li, Simon Fong, Yunsick Sung, Kyungeun Cho, Raymond Wong, Kelvin K. L. Wong. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification[J]. BioData Mining, 2016, 9(1).
Authors:  Jinyan Li;  Simon Fong;  Yunsick Sung;  Kyungeun Cho;  Raymond Wong; et al.
Favorite | TC[WOS]:23 TC[Scopus]:31  IF:4.0/3.7 | Submit date:2018/10/30
Imbalanced Dataset  Swarm Optimisation  Under-sampling  Smote  Dynamic Multi-objective  Classification  Biomedical Data