Unbalanced Data Classification Algorithm Based on Hybrid Sampling and Ensemble Learning.
Meng-fei WuXi-ming LiPublished in: ISKE (2021)
Keyphrases
- classification algorithm
- ensemble learning
- concept drift
- generalization ability
- support vector machine
- ensemble methods
- knn
- base learners
- naive bayes
- base classifiers
- class labels
- k nearest neighbor
- training set
- learning algorithm
- ensemble classifier
- imbalanced data
- feature selection
- unlabeled data
- data mining
- decision trees
- svm classifier
- class distribution
- support vector machine svm
- random forest
- semi supervised learning
- information extraction
- support vector
- training data
- information retrieval
- machine learning