Cluster-based under-sampling approaches for imbalanced data distributions

For classification problem, the training data will significantly influence the classification accuracy. However, the data in real-world applications often are imbalanced class distribution, that is, most of the data are in majority class and little data are in minority class. In this case, if all th...

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Bibliographic Details
Published in:Expert systems with applications Vol. 36; no. 3; pp. 5718 - 5727
Main Authors: Yen, Show-Jane, Lee, Yue-Shi
Format: Journal Article
Language:English
Published: Elsevier Ltd 01-04-2009
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Online Access:Get full text
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