Parameter-free classification in multi-class imbalanced data sets.
Loïc CerfDominique GayNazha Selmaoui-FolcherBruno CrémilleuxJean-François BoulicautPublished in: Data Knowl. Eng. (2013)
Keyphrases
- multi class
- parameter free
- imbalanced data sets
- support vector machine
- multi class classification
- cost sensitive
- binary classifiers
- class imbalance
- binary classification
- class distribution
- feature selection
- pairwise
- support vector machine svm
- imbalanced data
- svm classifier
- k nearest neighbor
- cost sensitive learning
- decision trees
- support vector
- feature vectors
- classification accuracy
- machine learning
- machine learning methods
- outlier detection
- classification algorithm
- benchmark datasets
- training set
- linear classifiers
- training data
- feature extraction
- misclassification costs
- machine learning algorithms
- training samples
- text classification
- feature set