Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation.
Jin LiKleanthis MalialisMarios M. PolycarpouPublished in: CoRR (2023)
Keyphrases
- incremental learning
- streaming data
- anomaly detection
- concept drift
- data streams
- intrusion detection
- batch learning
- data stream mining
- evolving data streams
- drift detection
- non stationary
- supervised learning
- network traffic
- data distribution
- intrusion detection system
- change detection
- semi supervised
- classification algorithm
- stream mining
- network anomaly detection
- concept drifting data streams
- incoming data
- support vector machine
- database systems
- image processing