DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection.
Teodora Sandra BudaBora CaglayanHaytham AssemPublished in: PAKDD (1) (2018)
Keyphrases
- deep learning
- anomaly detection
- unsupervised learning
- detect anomalies
- intrusion detection
- detecting anomalies
- unsupervised feature learning
- anomalous behavior
- machine learning
- intrusion detection system
- network intrusion detection
- one class support vector machines
- network traffic
- network anomaly detection
- mental models
- probabilistic model
- expectation maximization
- semi supervised
- negative selection algorithm
- weakly supervised
- real world
- computer vision
- image processing
- similarity measure
- pattern recognition
- k means
- model selection
- multi class