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Generative Oversampling for Mining Imbalanced Datasets

DMIN, pp.66-72, (2007)

Cited: 127|Views35
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One way to handle data mining problems where class prior probabilities and/or misclassification costs between classes are highly unequal is to resample the data until a new, desired class distribution in the training data is achieved. Many resampling techniques have been proposed in the past, and the relationship between resampling and co...More

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