MetaCluster: A Universal Interpretable Classification Framework for Cybersecurity.
Wenhan GeZeyuan CuiJunfeng WangBinhui TangXiaohui LiPublished in: IEEE Trans. Inf. Forensics Secur. (2024)
Keyphrases
- main contribution
- machine learning
- support vector machine
- pattern recognition
- feature extraction
- decision trees
- text classification
- classification rules
- multiple instance learning
- classification scheme
- feature selection
- classification method
- data sets
- supervised classification
- pattern classification
- benchmark datasets
- classification process
- lightweight
- image classification
- supervised learning
- classification accuracy
- feature vectors
- feature space
- support vector
- multiscale