A meta-learning approach in a cattle weight identification system for anomaly detection.
Rodrigo GarcíaJosé AguilarPublished in: Comput. Electron. Agric. (2024)
Keyphrases
- anomaly detection
- meta learning
- inductive learning
- learning tasks
- anomalous behavior
- model selection
- intrusion detection
- machine learning algorithms
- detecting anomalies
- network traffic
- machine learning
- network intrusion detection
- decision trees
- intrusion detection system
- unsupervised learning
- network anomaly detection
- metamodel
- feature selection
- detect anomalies
- data mining
- one class support vector machines
- base classifiers
- learning experience