Feature Rankers to Predict Classification Performance of Unsupervised Intrusion Detectors.
Tommaso ZoppiAndrea CeccarelliAndrea BondavalliPublished in: LADC (2021)
Keyphrases
- feature vectors
- classification models
- supervised learning
- feature ranking
- unsupervised learning
- feature extraction
- support vector machine
- discriminative features
- feature set
- classification scheme
- feature space
- classification algorithm
- machine learning
- text classification
- image classification
- unsupervised classification
- pattern recognition
- decision trees
- multi class
- training samples
- classification accuracy
- classification method
- single feature
- preprocessing stage
- partially supervised
- feature maps
- weak classifiers
- supervised classification
- cost sensitive
- high dimensionality
- object detection
- image features
- training set
- feature selection