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An Improved Oversampling Algorithm Based on the Samples' Selection Strategy for Classifying Imbalanced Data
2019
Mathematical Problems in Engineering
The imbalance data refers to at least one of its classes which is usually outnumbered by the other classes. The imbalanced data sets exist widely in the real world, and the classification for them has become one of the hottest issues in the field of data mining. At present, the classification solutions for imbalanced data sets are mainly based on the algorithm-level and the data-level. On the data-level, both oversampling strategies and undersampling strategies are used to realize the data
doi:10.1155/2019/3526539
fatcat:y3ylyjg37va7la5efvbbam5bra