Use of Machine Learning for Anomaly Detection Problem in Large Astronomical Databases.
Konstantin L. MalanchevAlina A. VolnovaMatwey V. KornilovMaria V. PruzhinskayaEmille E. O. IshidaFlorian MondonVladimir S. KorolevPublished in: DAMDID/RCDL (2019)
Keyphrases
- anomaly detection
- machine learning
- databases
- network anomaly detection
- intrusion detection
- network intrusion detection
- detecting anomalies
- knowledge discovery
- anomalous behavior
- computer security
- intrusion detection system
- unsupervised learning
- unsupervised anomaly detection
- network traffic
- detect anomalies
- behavior analysis
- data mining
- detecting anomalous
- one class support vector machines
- network intrusion
- pattern recognition
- decision trees
- neural network
- supervised learning
- support vector machine
- text classification
- computational intelligence
- network security
- image segmentation
- feature selection
- malware detection
- information systems
- activity recognition
- data sets
- learning algorithm
- text mining