Author:
More Anjali S.,Rana Dipti P.
Reference37 articles.
1. Machine Learning from Imbalanced Data Sets 101;Provost,2000
2. SMOTE: Synthetic minority over-sampling technique.;Chawla;Journal of Artificial Intelligence Research,2002
3. Chawla, N.V., A. Lazarevic, L.O. Hall and K.W. Bowyer. (2003) “Smote Boost: Improving Prediction of The Minority Class in Boosting.” Lect. Notes Artif: 107-119.
4. Using Random Forest to Learn Imbalanced Data;Chen,2003
5. Ricardo Barandela, Rosa M. Valdovinos, J. Salvador Sanchez, and Francesc J. Ferri. (2004) “The Imbalanced Training Sample Problem: Under or over Sampling,” International Journal of Springer: 806–814.
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