A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production.
Philip StahmannMaximilian NebelBodo RiegerPublished in: LOD (1) (2022)
Keyphrases
- real time
- data streams
- anomaly detection
- semantic information
- feature set
- image features
- classification accuracy
- natural language
- feature extraction
- feature vectors
- network traffic
- co occurrence
- vision system
- high level
- sliding window
- production system
- streaming data
- continuous queries
- feature space
- face recognition
- database systems
- data sets