Applying Machine Learning to Anomaly Detection in Car Insurance Sales.
Michal PiesioMaria GanzhaMarcin PaprzyckiPublished in: BDA (2020)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- anomalous behavior
- network traffic
- detecting anomalies
- network intrusion detection
- unsupervised learning
- unsupervised anomaly detection
- intrusion detection system
- computer security
- one class support vector machines
- network security
- computer vision
- malware detection
- behavior analysis
- natural language processing
- detecting anomalous
- learning algorithm
- data analysis
- data sets
- active learning
- learning problems
- decision trees
- information extraction
- pattern recognition
- detect anomalies
- network intrusion
- image segmentation
- negative selection algorithm
- supervised learning
- connectionist systems
- cumulative sum
- reinforcement learning