Cost-sensitive boosting for classification of imbalanced data.
Yanmin SunMohamed S. KamelAndrew K. C. WongYang WangPublished in: Pattern Recognit. (2007)
Keyphrases
- imbalanced data
- cost sensitive boosting
- class imbalance
- class distribution
- imbalanced data sets
- feature selection
- cost sensitive
- classification models
- decision trees
- decision boundary
- support vector machine
- support vector
- minority class
- linear regression
- classification accuracy
- random forest
- feature vectors
- cross validation
- machine learning methods
- svm classifier
- feature extraction
- ensemble methods
- support vector machine svm
- text classification
- supervised learning
- feature space
- multi class
- machine learning
- sampling methods
- base classifiers
- training set
- high dimensionality
- classification algorithm