This is a hybrid implementation of oversampling method Synthetic Minority Oversampling Technique (SMOTE) and undersampling method called Sample Subset Optimization and Particle Swarm Optimization (SSO-PSO). This is a hybrid intelligent sampling technique to tackle class-imbalance in real world datasets. To know more about it please follow the link: https://link.springer.com/chapter/10.1007/978-3-030-16660-1_74.
If you are including our work in your research please cite our paper as:
[1] Susan, Seba, and Amitesh Kumar. "Hybrid of intelligent minority oversampling and PSO-based intelligent majority undersampling for learning from imbalanced datasets." In International Conference on Intelligent Systems Design and Applications, pp. 760-769. Springer, Cham, 2018.
For reading free PDF, you can get it at: https://www.researchgate.net/publication/332410057_Hybrid_of_Intelligent_Minority_Oversampling_and_PSO-Based_Intelligent_Majority_Undersampling_for_Learning_from_Imbalanced_Datasets
This technique is seen as solution to imbalanced data problem. To know more about imbalanced data problem, please follow this link: https://onlinelibrary.wiley.com/doi/full/10.1002/eng2.12298. The citation of this paper is:
[2] Susan, Seba, and Amitesh Kumar. "The balancing trick: Optimized sampling of imbalanced datasets—A brief survey of the recent State of the Art." Engineering Reports 3, no. 4 (2021): e12298.
For reading free PDF, you can get it at: https://www.researchgate.net/publication/344781218_The_balancing_trick_Optimized_sampling_of_imbalanced_datasets-A_brief_survey_of_the_recent_State_of_the_Art
Important !!! :
This file requires *.arff extension files. At run time please specify the directory path for input file. The output file will be created in same directory. Please include weka jar files or weka_related_jar.jar (which is a weka jar itself) in your Referenced libraries (in case of Eclipse IDE).