Utilizing concept correlations for effective imbalanced data classification

Abstract

Data imbalance is a challenging and common problem in data mining and machine learning areas, and has attracted significant research efforts. A data set is considered imbalanced when the data instances (samples) are not close to uniformly distributed across different classes/categories, which is very common in real-world data sets. It is likely to result in… (More)
DOI: 10.1109/IRI.2014.7051939

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Citation Velocity: 13

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