A new adaptive weighted imbalanced data classifier via improved support vector machines with high-dimension nature.
Kai QiHu YangQingyu HuDongjun YangPublished in: Knowl. Based Syst. (2019)
Keyphrases
- high dimension
- imbalanced data
- feature selection
- support vector machine
- feature space
- small sample
- svm classifier
- classification models
- ensemble classifier
- input space
- real valued
- high dimensional
- decision boundary
- feature set
- support vector
- decision trees
- high dimensionality
- class distribution
- training data
- minority class
- training set
- ensemble methods
- multi class
- random forest
- ensemble learning
- classification accuracy
- class imbalance
- high dimensional data
- learning algorithm
- dimensionality reduction
- feature selection algorithms
- neural network
- sample size
- machine learning
- similarity measure
- feature extraction
- weak classifiers
- linear regression
- support vector machine svm
- classification algorithm
- cross validation
- data sets