Enhancing Claim Classification with Feature Extraction from Anomaly-Detection-Derived Routine and Peculiarity Profiles.
Francis DuvalJean-Philippe BoucherMathieu PigeonPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- feature extraction
- intrusion detection
- feature vectors
- novelty detection
- detecting anomalies
- unsupervised learning
- pattern classification
- network traffic
- anomalous behavior
- network intrusion detection
- pattern recognition
- decision trees
- network anomaly detection
- feature space
- intrusion detection system
- feature selection
- detecting anomalous
- negative selection algorithm
- behavior analysis
- computer security
- one class support vector machines
- image processing
- feature set
- preprocessing
- support vector
- machine learning
- cumulative sum
- connectionist systems
- network intrusion
- network security
- detect anomalies
- image segmentation
- malware detection
- face recognition
- supervised learning
- text classification