Active learning for anomaly detection in environmental data.
Stefania RussoMoritz LürigWenjin HaoBlake MatthewsKris VillezPublished in: Environ. Model. Softw. (2020)
Keyphrases
- anomaly detection
- environmental data
- active learning
- geospatial data
- intrusion detection
- metadata
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- semi supervised
- intrusion detection system
- unsupervised learning
- environmental sciences
- one class support vector machines
- network anomaly detection
- transfer learning
- machine learning
- supervised learning
- spatial data
- learning process
- training set
- detect anomalies
- image processing
- learning algorithm
- negative selection algorithm
- data processing
- support vector machine
- data mining