Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
Zhining LiuWei CaoZhifeng GaoJiang BianHechang ChenYi ChangTie-Yan LiuPublished in: ICDE (2020)
Keyphrases
- massive data
- data mining applications
- training set
- highly imbalanced
- classification accuracy
- feature selection
- feature extraction
- support vector machine svm
- machine learning
- preprocessing
- classification algorithm
- feature space
- supervised learning
- imbalanced data
- support vector
- data sets
- learning algorithm
- ensemble classifier
- decision boundary
- class distribution
- classification models
- cost sensitive
- machine learning methods
- benchmark datasets
- data analysis
- support vector machine
- feature vectors