SMOTE-DGC: An Imbalanced Learning Approach of Data Gravitation Based Classification.
Lizhi PengHaibo ZhangBo YangYuehui ChenXiaoqing ZhouPublished in: ICIC (2) (2016)
Keyphrases
- data sets
- imbalanced data sets
- supervised learning
- data analysis
- learning process
- background knowledge
- training data
- class imbalance
- prior knowledge
- active learning
- classification accuracy
- training samples
- data generation
- class distribution
- learning algorithm
- learning models
- pattern classification
- highly skewed
- original data
- data distribution
- reinforcement learning
- decision trees
- machine learning methods
- classification algorithm
- high dimensional data
- data mining techniques
- feature vectors
- support vector
- data reduction
- discriminative learning
- imbalanced data
- feature extraction