Selective Pre-processing of Imbalanced Data for Improving Classification Performance.
Jerzy StefanowskiSzymon WilkPublished in: DaWaK (2008)
Keyphrases
- imbalanced data
- preprocessing
- imbalanced data sets
- classification models
- support vector machine
- feature extraction
- class imbalance
- decision boundary
- linear regression
- decision trees
- imbalanced datasets
- support vector
- image classification
- feature selection
- benchmark datasets
- training set
- text classification
- support vector machine svm
- machine learning
- training samples
- preprocessing step
- dimensionality reduction
- feature vectors
- cost sensitive learning
- multi class
- nearest neighbor
- roc curve
- class distribution
- random forest
- ensemble methods
- pattern classification
- high dimensionality
- missing values
- machine learning methods
- classification algorithm
- cross validation
- machine learning algorithms