An Improved Ensemble Classification Algorithm for Imbalanced Data with Sample Overlap.
Yafei ZhangFei HanPublished in: NCAA (2) (2022)
Keyphrases
- classification algorithm
- imbalanced data
- support vector machine
- base learners
- ensemble methods
- class distribution
- training set
- k nearest neighbor
- knn
- linear regression
- concept drift
- ensemble classifier
- naive bayes
- random forest
- base classifiers
- svm classifier
- class labels
- classification rules
- feature selection
- class imbalance
- multi class
- ensemble learning
- test data
- decision trees
- benchmark datasets
- prediction accuracy
- learning algorithm
- nearest neighbor
- machine learning
- support vector machine svm
- minority class
- training data
- decision boundary
- support vector
- feature space
- active learning
- sampling methods
- feature vectors
- sample size
- least squares
- classification models
- supervised learning
- text mining
- data mining