Imbalanced Data Classification Algorithm Based on Integrated Sampling and Ensemble Learning.
Yan HanMingxiang HeQixian LuPublished in: ICGEC (2018)
Keyphrases
- imbalanced data
- classification algorithm
- ensemble learning
- concept drift
- ensemble methods
- base learners
- ensemble classifier
- support vector machine
- generalization ability
- base classifiers
- minority class
- naive bayes
- class distribution
- class imbalance
- class labels
- training set
- knn
- random forest
- k nearest neighbor
- learning algorithm
- decision trees
- prediction accuracy
- sampling methods
- feature selection
- neural network
- benchmark datasets
- unlabeled data
- random forests
- decision boundary
- data streams
- image classification
- semi supervised
- multi class
- classification accuracy
- pairwise
- clustering algorithm
- machine learning