A Neighborhood Undersampling Stacked Ensemble (NUS-SE) in imbalanced classification.
Zian SengSameem Abdul KareemKasturi Dewi VarathanPublished in: Expert Syst. Appl. (2021)
Keyphrases
- class imbalance
- imbalanced data
- binary classification problems
- pattern recognition
- classification algorithm
- multiple classifiers
- ensemble classifier
- cost sensitive
- neural network
- support vector
- training set
- feature vectors
- classification accuracy
- final classification
- support vector machine svm
- image classification
- support vector machine
- ensemble classification
- feature extraction
- training data
- imbalanced data sets
- imbalanced datasets
- individual classifiers
- feature selection
- classifier ensemble
- binary classification
- text classification
- majority class
- multiple classifier systems
- active learning
- class labels
- decision tree classifiers
- concept drifting data streams
- decision boundary
- ensemble learning
- random forest
- ensemble methods
- pattern classification
- machine learning methods
- feature space
- decision trees
- machine learning