基于概率采样和集成学习的不平衡数据分类算法 (Imbalanced Data Classification Algorithm Based on Probability Sampling and Ensemble Learning).
Yaxi CaoHaiyan HuangPublished in: 计算机科学 (2019)
Keyphrases
- imbalanced data
- classification algorithm
- ensemble learning
- concept drift
- ensemble methods
- ensemble classifier
- base learners
- base classifiers
- support vector machine
- generalization ability
- naive bayes
- random forest
- training set
- class labels
- k nearest neighbor
- minority class
- class distribution
- knn
- class imbalance
- learning algorithm
- feature selection
- decision trees
- unlabeled data
- prediction accuracy
- support vector
- sampling methods
- random forests
- test set
- data mining
- benchmark datasets
- classification accuracy
- clustering algorithm
- linear regression
- semi supervised
- training data
- machine learning