An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection.
Makiya NakashimaAlex SimYoungsoo KimJonghyun KimJinoh KimPublished in: CoRR (2019)
Keyphrases
- variable selection
- network anomaly detection
- anomaly detection
- input variables
- cross validation
- network intrusion detection
- linear models
- high dimensional
- model selection
- dimension reduction
- self organizing maps
- group lasso
- high dimensional data
- number of input variables
- neural network
- sparsity inducing
- feature vectors
- feature selection
- learning algorithm
- data mining
- real world