Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors.
Zhi ChenZhenning ZhangZeliang KanLimin YangJacopo CortellazziFeargus PendleburyFabio PierazziLorenzo CavallaroGang WangPublished in: SP Workshops (2023)
Keyphrases
- concept drift
- feature space
- data streams
- streaming data
- drift detection
- non stationary
- drifting concepts
- data distribution
- change detection
- incremental clustering
- classification algorithm
- data stream mining
- evolving data streams
- data stream classification
- feature vectors
- high dimensional
- low dimensional
- feature set
- dimensionality reduction
- data points
- classification accuracy
- batch learning
- feature extraction
- data sets
- multi dimensional
- nearest neighbor
- training set