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TRACOS: realistic synthetic data generation via chaotic trajectory modeling in high-dimensional imbalanced datasets
TRACOS: realistic synthetic data generation via chaotic trajectory modeling in high-dimensional imbalanced datasets Department of Software Development, Karamanoglu Mehmetbey University, Karaman, Turkey DOI 10.7717/peerj-cs.4109 Academic Editor Álvar Arnaiz-González Subject Areas Computer Education, Data Mining and Machine Learning, Data Science, Optimization Theory and Computation Keywords Imbalanced data classification, Oversampling, Chaos theory, Spline interpolation, SMOTE Copyright ©...
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