Anomaly detection and classification for streaming data using partial differential equations.
Bilal AbbasiJeff CalderAdam M. ObermanPublished in: CoRR (2016)
Keyphrases
- anomaly detection
- streaming data
- partial differential equations
- intrusion detection
- detecting anomalies
- unsupervised learning
- level set
- data streams
- network traffic
- network intrusion detection
- image denoising
- machine learning
- classification accuracy
- image processing
- anomalous behavior
- concept drift
- pattern recognition
- support vector
- sliding window
- intrusion detection system
- classification algorithm
- one class support vector machines
- feature vectors
- decision trees
- text classification
- data distribution
- support vector machine
- training set
- feature selection
- neural network
- supervised learning
- multiresolution
- multiscale
- feature extraction
- detect anomalies