Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap.
Qiong GuZhihua CaiLi ZhuPublished in: ISICA (2009)
Keyphrases
- imbalanced data sets
- sampling algorithm
- pattern classification
- random sampling
- decision trees
- class imbalance
- class distribution
- benchmark data sets
- machine learning
- support vector machine
- feature extraction
- support vector
- cost sensitive
- sampling methods
- imbalanced data
- feature vectors
- training samples
- high dimensional data
- class labels
- high dimensionality
- dimensionality reduction
- principal component analysis
- decision boundary
- minority class