Minority oversampling for imbalanced time series classification.
Tuanfei ZhuCheng LuoZhihong ZhangJing LiSiqi RenYifu ZengPublished in: Knowl. Based Syst. (2022)
Keyphrases
- minority class
- sampling methods
- class imbalance
- majority class
- imbalanced datasets
- imbalanced data
- class distribution
- class imbalanced
- random sampling
- imbalanced data sets
- cost sensitive learning
- original data
- classification error
- rare events
- nearest neighbour
- training data
- sampling algorithm
- training set
- active learning
- binary classification
- ensemble learning
- single class
- cost sensitive
- high dimensionality
- decision boundary
- classification accuracy
- dynamic time warping
- support vector machine
- nearest neighbor
- feature selection
- highly imbalanced
- data sets