A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance.
Zina ChkirbeneAiman ErbadRidha HamilaAla GouissemAmr MohamedMohsen GuizaniMounir HamdiPublished in: IEEE Syst. J. (2021)
Keyphrases
- class imbalance
- machine learning
- active learning
- cost sensitive learning
- cost sensitive
- class distribution
- feature selection
- pattern recognition
- majority class
- imbalanced datasets
- high dimensionality
- imbalanced data sets
- machine learning methods
- decision trees
- minority class
- support vector machine
- concept drift
- sampling methods
- imbalanced data
- classification accuracy
- supervised learning
- machine learning algorithms
- text classification
- feature set
- learning algorithm
- training data
- misclassification costs
- reinforcement learning
- class labels
- multi class
- small number
- error rate
- unsupervised learning
- data mining