Clustering-based binary-class classification for imbalanced data sets.
Chao ChenMei-Ling ShyuPublished in: IRI (2011)
Keyphrases
- imbalanced data sets
- multi class classification
- class labels
- classification accuracy
- concept learning
- class imbalance
- minority class
- class distribution
- benchmark data sets
- pattern classification
- classification algorithm
- decision trees
- binary classifiers
- machine learning algorithms
- cost sensitive
- roc curve
- decision boundary
- feature extraction
- imbalanced data
- support vector machine svm
- machine learning
- classification models
- text classification
- multi class
- feature vectors
- feature space
- rare events