MBead: Semi-supervised Multilabel Behaviour Anomaly Detection on Multivariate Temporal Sensory Data.
Suwen LinLouis FaustSidney D'MelloGonzalo J. MartínezNitesh V. ChawlaPublished in: IEEE BigData (2020)
Keyphrases
- anomaly detection
- sensory data
- multi label
- semi supervised
- unsupervised anomaly detection
- multilabel classification
- text categorization
- unsupervised learning
- graph cuts
- intrusion detection
- image classification
- activity recognition
- detecting anomalies
- semi supervised learning
- sensor data
- anomalous behavior
- text classification
- random walker
- network intrusion detection
- instance based learning
- network traffic
- intrusion detection system
- labeled data
- one class support vector machines
- supervised learning
- detect anomalies
- unlabeled data
- negative selection algorithm
- decision trees
- pairwise
- image processing
- learning algorithm
- feature selection
- ensemble methods
- action recognition
- information retrieval
- active learning
- knowledge discovery
- higher order