Corrigendum to "A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion" [Neurocomputing 168 (2015) 365-381].
Zhen LiuRuoyu WangMing TaoXianfa CaiPublished in: Neurocomputing (2016)
Keyphrases
- network traffic
- class imbalanced
- feature selection
- instance selection
- class imbalance
- intrusion detection
- anomaly detection
- network traffic data
- intrusion detection system
- imbalanced data
- minority class
- text classification
- classification accuracy
- evaluation criteria
- benchmark datasets
- sampling methods
- class distribution
- high dimensionality
- multi class
- support vector machine
- data sets
- bayesian networks
- data reduction
- cost sensitive
- feature subset
- nearest neighbor
- knn
- support vector