A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets
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DOI: 10.3390/e24030322
Abstract: Oversampling is the most popular data preprocessing technique. It makes traditional classifiers available for learning from imbalanced data. Through an overall review of oversampling techniques (oversamplers), we find that some of them can be regarded… read more here.
Keywords: information; boundary information; information based; samples near ... See more keywords