A Noise-Filtered Under-Sampling Scheme for Imbalanced Classification.
Qi KangXiaoshuang ChenSisi LiMengChu ZhouPublished in: IEEE Trans. Cybern. (2017)
Keyphrases
- classification algorithm
- image classification
- classification scheme
- decision trees
- pattern recognition
- machine learning
- training samples
- automatic classification
- decision rules
- support vector
- classification rules
- preprocessing
- class imbalance
- classification accuracy
- support vector machine
- missing data
- classification method
- noise level
- feature vectors
- classification models
- imbalanced datasets
- class imbalanced
- benchmark data sets
- binary classification problems
- random noise
- data sets
- pattern classification
- signal to noise ratio
- text classification
- knn
- training set
- feature space
- data streams
- feature selection
- learning algorithm
- neural network