Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series.
Rebecca E. WilsonIdris A. EckleyMatthew A. NunesTimothy ParkPublished in: Data Min. Knowl. Discov. (2019)
Keyphrases
- data streams
- sensor networks
- non stationary
- anomaly detection
- detect anomalies
- distributed data streams
- sliding window
- detection algorithm
- cooperative
- change detection
- multiscale
- high level declarative
- multiresolution
- streaming data
- moving window
- underwater acoustic
- wavelet coefficients
- data sets
- detection method
- wavelet transform
- false positives
- mobile sensor
- dynamic environments
- peer to peer
- dynamic textures
- complex background
- stream data
- denoising
- input image
- stream processing
- mobile robot
- detecting anomalous
- region detection
- stream mining
- sensor data
- real time