Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithms.
Piyanoot VorrabootSuwanna RasmequanKrisana ChinnasarnChidchanok LursinsapPublished in: Neurocomputing (2015)
Keyphrases
- imbalanced data
- hybrid algorithms
- feature selection
- classification models
- class imbalance
- support vector machine
- decision trees
- feature vectors
- ensemble classifier
- classification accuracy
- feature extraction
- random forest
- svm classifier
- rate constrained
- decision boundary
- linear regression
- machine learning methods
- neural network
- support vector
- machine learning
- class distribution
- support vector machine svm
- sampling methods
- computer vision
- genetic algorithm