Interpretable Anomaly Detection with Mondrian P{ó}lya Forests on Data Streams.
Charlie DickensEric MeissnerPablo G. MorenoTom DiethePublished in: CoRR (2020)
Keyphrases
- anomaly detection
- data streams
- streaming data
- high dimensional data streams
- intrusion detection
- sliding window
- network traffic
- detecting anomalies
- intrusion detection system
- anomalous behavior
- computer security
- network intrusion detection
- concept drift
- network anomaly detection
- behavior analysis
- network security
- data sets
- sensor data
- detect anomalies
- one class support vector machines
- unsupervised anomaly detection
- malware detection
- pattern recognition
- itemsets
- reinforcement learning