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- W2363752267 abstract "For the issue of classification on imbalanced datasets,this paper presents an improved SVM-KNN classification algorithm.On this basis,an ensemble learning model is proposed.This model employs limited sampling to segment the majority class samples,re-combines the subset of majority class samples with the minority class samples,obtains several basic classifiers by training the combined subset based on improved SVM-KNN.These basic classifiers are integrated.Experimental results on UCI dataset show that this ensemble learning model has satisfactory performance when dealing with issue of classification on imbalanced datasets." @default.
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- W2363752267 date "2012-01-01" @default.
- W2363752267 modified "2023-09-26" @default.
- W2363752267 title "Ensemble learning model for imbalanced data classification" @default.
- W2363752267 hasPublicationYear "2012" @default.
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