Paper Title
Improved Smote for Imbalanced Data

Abstract
Imbalanced data is an important issue in data science. We often encounter the problems with class imbalance in the real world, and the imbalanced data will affect the training and predictive performance of the model. There are many ways to solve this problem. This paper has made a discussion on SMOTE. Keywords - Imbalanced Data, Data Generation, Data Cleaning, SMOTE