An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid sampling.
Xin GaoBing RenHao ZhangBohao SunJunliang LiJianhang XuYang HeKangsheng LiPublished in: Expert Syst. Appl. (2020)
Keyphrases
- classification method
- experimental data
- data sets
- probability distribution
- test data
- input data
- prior knowledge
- original data
- data points
- small number
- probabilistic model
- training data
- database
- data analysis
- classification algorithm
- multi class
- nearest neighbor
- text classification
- k nearest neighbor
- feature extraction
- learning algorithm