CADE: Detecting and Explaining Concept Drift Samples for Security Applications.
Limin YangWenbo GuoQingying HaoArridhana CiptadiAli AhmadzadehXinyu XingGang WangPublished in: USENIX Security Symposium (2021)
Keyphrases
- concept drift
- data streams
- non stationary
- streaming data
- drifting concepts
- drift detection
- change detection
- classification algorithm
- incremental clustering
- data stream classification
- data distribution
- class imbalance
- data stream mining
- training samples
- intrusion detection
- evolving data streams
- concept descriptions
- batch learning
- database
- management system
- reinforcement learning
- database systems
- machine learning