Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection.
Ming-Chang LeeJia-Chun LinPublished in: ICSOFT (2023)
Keyphrases
- lightweight
- anomaly detection
- deep learning
- unsupervised learning
- detect anomalies
- intrusion detection
- anomalous behavior
- network intrusion detection
- network traffic
- detecting anomalies
- intrusion detection system
- machine learning
- one class support vector machines
- online learning
- weakly supervised
- mental models
- network anomaly detection
- wireless sensor networks
- supervised learning
- expectation maximization
- text classification
- natural language processing
- semi supervised
- multi class
- training set
- object recognition
- learning algorithm
- data sets
- negative selection algorithm