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Imbalanced traffic identification using an imbalanced data gravitation-based classification model
Computer Communications, 2017Lizhi Peng
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Class-imbalanced classifiers for high-dimensional data
Briefings in Bioinformatics, 2013Wei-Jiun Lin, Chen James J
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The effect of imbalanced data sets on LDA: A theoretical and empirical analysis
Pattern Recognition, 2007exaly
Stochastic Covariance Regularization for Imbalanced Datasets
Ahmet Erdem, Faik Boray Tekopenaire +1 more source
A survey on imbalanced learning: latest research, applications and future directions
Artificial Intelligence ReviewC L Philip Chen +2 more
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Overlapping Classes in Imbalanced Datasets
Big data has become easily available, but there is a need to improve the usefulness of these data, especially when we have an imbalanced dataset and overlapping data points in two or more classes. Machine-learning algorithms have improved in recent years, and many algorithms have been introduced that tackle the issues in data that su er from imbalancedopenaire +1 more source