Diversity techniques improve the performance of the best imbalance learning ensembles

标题
Diversity techniques improve the performance of the best imbalance learning ensembles
作者
关键词
Classifier ensembles, Imbalanced data sets, SMOTE, Undersampling, Rotation forest, Diversity
出版物
INFORMATION SCIENCES
Volume 325, Issue -, Pages 98-117
出版商
Elsevier BV
发表日期
2015-07-12
DOI
10.1016/j.ins.2015.07.025

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