Combating the Small Sample Class Imbalance Problem Using Feature Selection.
Michael WasikowskiXue-wen ChenPublished in: IEEE Trans. Knowl. Data Eng. (2010)
Keyphrases
- small sample
- class imbalance
- feature selection
- high dimensionality
- feature selection algorithms
- class distribution
- active learning
- high dimensional
- support vector machine
- sample size
- cost sensitive
- dimensionality reduction
- text categorization
- feature subset
- ls svm
- text classification
- model selection
- concept drift
- unlabeled data
- support vector
- multi class
- feature space
- image classification
- feature set
- knn
- machine learning
- feature extraction
- variable selection
- unsupervised learning
- classification models
- high dimensional data
- low dimensional
- semi supervised
- classification accuracy
- pattern recognition