Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation.
Jin LiKleanthis MalialisMarios M. PolycarpouPublished in: IJCNN (2023)
Keyphrases
- incremental learning
- streaming data
- anomaly detection
- concept drift
- data streams
- intrusion detection
- evolving data streams
- data stream mining
- stream mining
- network traffic
- batch learning
- non stationary
- network anomaly detection
- unsupervised learning
- data distribution
- drift detection
- change detection
- classification algorithm
- stream data
- supervised learning
- concept drifting data streams
- intrusion detection system
- semi supervised
- incoming data
- pairwise
- decision trees
- computer vision
- machine learning
- data mining