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Classification of Imbalanced Big Data using SMOTE with Rough Random Forest

2019 International Journal of Engineering and Advanced Technology  
The Synthetic Minority Oversampling Technique (SMOTE) is a widely used technique to balance imbalanced data.  ...  Amongst the various data mining tools available for the purpose, none works satisfactorily in the case of imbalanced data mainly because this type of data gives rise to various minority classes, which  ...  ACKNOWLEDGMENT The authors would like to acknowledge TEQIP III scheme of the Government of India for providing the required funds for the publication of this work.  ... 
doi:10.35940/ijeat.b4096.129219 fatcat:qe4w3zpccregjnsmod4bz6pa3e