A novel SVM modeling approach for highly imbalanced and overlapping classification.
Yu QuHongye SuLichao GuoJian ChuPublished in: Intell. Data Anal. (2011)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- classification algorithm
- svm classifier
- highly imbalanced
- feature selection
- cost sensitive
- classification accuracy
- generalization ability
- machine learning
- pattern classification
- decision trees
- feature vectors
- feature space
- multi class classification
- class distribution
- image classification
- training set
- knn
- classification models
- text classification
- unsupervised learning
- multi class
- imbalanced data
- feature subset
- class labels
- support vectors
- decision boundary
- machine learning algorithms
- training samples