A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications.
Usman Ahmad UsmaniAri HapponenJunzo WatadaPublished in: SAI (2) (2022)
Keyphrases
- anomaly detection
- industrial applications
- learning frameworks
- unsupervised anomaly detection
- unsupervised learning
- semi supervised
- intrusion detection
- semi supervised learning
- active learning
- network intrusion detection
- detecting anomalies
- unlabeled data
- anomalous behavior
- intrusion detection system
- supervised learning
- network traffic
- detecting anomalous
- kernel methods
- network anomaly detection
- one class support vector machines
- negative selection algorithm
- machine learning
- detect anomalies
- object recognition
- similarity measure
- feature selection
- learning algorithm