Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks.
Piotr S. MaciagMarzena KryszkiewiczRobert BembenikJesus L. LoboJavier Del SerPublished in: Neural Networks (2021)
Keyphrases
- stream data
- spiking neural networks
- data streams
- unsupervised anomaly detection
- anomaly detection
- sliding window
- network traffic
- historical data
- streaming data
- intrusion detection
- concept drift
- sequential patterns
- biologically inspired
- sensor data
- feed forward
- data mining
- data distribution
- itemsets
- learning rules
- multi dimensional
- artificial neural networks
- reinforcement learning