Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification.
Jinyan LiSimon FongYunsick SungKyungeun ChoRaymond K. WongKelvin Kian Loong WongPublished in: BioData Min. (2016)
Keyphrases
- multi objective
- classification algorithm
- imbalanced datasets
- class imbalance
- classification accuracy
- learning algorithm
- class distribution
- feature selection
- objective function
- minority class
- genetic programming
- imbalanced data
- cost sensitive learning
- feature selection algorithms
- model selection
- data sets
- multi class
- feature space
- machine learning
- neural network