Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift.
Federico BarberoFeargus PendleburyFabio PierazziLorenzo CavallaroPublished in: IEEE Symposium on Security and Privacy (2022)
Keyphrases
- concept drift
- classification algorithm
- data stream classification
- data streams
- novelty detection
- concept drifting data streams
- class imbalance
- ensemble classifier
- labelled data
- drift detection
- classification accuracy
- data stream mining
- non stationary
- pattern recognition
- streaming data
- feature extraction
- feature vectors
- text classification
- drifting concepts
- decision trees
- change detection
- machine learning
- support vector machine
- training set
- training data
- incremental learning
- data distribution
- benchmark datasets
- training samples
- unsupervised learning
- k nearest neighbor
- supervised learning
- concept descriptions
- batch learning
- feature space
- neural network