TADS: Transformation of Anomalies in Data Streams.
Wyatt GreenTom JohnstenRyan G. BentonPublished in: IEEE BigData (2020)
Keyphrases
- data streams
- sliding window
- anomaly detection
- sensor networks
- stream data
- streaming data
- concept drift
- detecting anomalies
- neural network
- change detection
- outlier detection
- linear transformation
- data sets
- mining data streams
- data distribution
- sensor data
- continuous queries
- data stream mining
- unsupervised learning
- stream mining
- anomalous behavior
- distributed data streams