SMMO-CoFS: Synthetic Multi-minority Oversampling with Collaborative Feature Selection for Network Intrusion Detection System.
Yeshalem Gezahegn DamtewHongmei ChenPublished in: Int. J. Comput. Intell. Syst. (2023)
Keyphrases
- feature selection
- class imbalance
- collaborative learning
- mutual information
- multi class
- real world
- selected features
- irrelevant features
- feature extraction
- feature set
- text classification
- model selection
- knowledge sharing
- collaborative environment
- feature selection algorithms
- method for feature selection
- geographically dispersed
- majority class
- data sets
- class imbalanced
- computer supported collaborative learning
- class distribution
- feature subset
- microarray data
- gene expression data
- high dimensionality
- intrusion detection
- support vector