Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform.
Stratis KanarachosStavros-Richard G. ChristopoulosAlexander ChroneosMichael E. FitzpatrickPublished in: Expert Syst. Appl. (2017)
Keyphrases
- detecting anomalies
- anomaly detection
- neural network
- learning algorithm
- hilbert transform
- wavelet transform
- multiresolution
- abnormal events
- multiscale
- pattern recognition
- data mining applications
- signal processing
- machine learning
- basis functions
- image compression
- feature extraction
- image processing
- high dimensional
- hilbert huang transform
- supervised learning
- data analysis
- machine learning algorithms
- reinforcement learning
- training data
- wavelet decomposition
- signal analysis
- feature selection