Exploratory study on Class Imbalance and solutions for Network Traffic Classification.
Santiago Egea GómezLuis Hernández-CallejoBelén Carro MartínezAntonio J. Sánchez-EsguevillasPublished in: Neurocomputing (2019)
Keyphrases
- class imbalance
- network traffic
- class distribution
- imbalanced datasets
- anomaly detection
- cost sensitive
- intrusion detection
- high dimensionality
- active learning
- classification accuracy
- text classification
- machine learning methods
- classification algorithm
- cost sensitive learning
- machine learning
- support vector
- feature extraction
- feature selection
- learning algorithm
- majority class
- sampling methods
- imbalanced data
- concept drift
- text categorization
- supervised learning
- feature vectors
- feature space
- pattern recognition