Comparative analysis of machine learning models for anomaly detection in manufacturing.
Andrey KharitonovAbdulrahman NahhasMatthias PohlKlaus TurowskiPublished in: ISM (2021)
Keyphrases
- comparative analysis
- anomaly detection
- machine learning models
- machine learning algorithms
- spam filtering
- machine learning approaches
- intrusion detection
- detecting anomalies
- network intrusion detection
- network traffic
- anomalous behavior
- machine learning
- predictive model
- intrusion detection system
- network anomaly detection
- detect anomalies
- learning models
- negative selection algorithm
- unsupervised learning
- normal behavior
- active learning
- one class support vector machines
- learning tasks
- graphical models
- data sets