Unsupervised Learning Based Distributed Detection of Global Anomalies.
Junlin ZhouAleksandar LazarevicKuo-Wei HsuJaideep SrivastavaYan FuYue WuPublished in: Int. J. Inf. Technol. Decis. Mak. (2010)
Keyphrases
- unsupervised learning
- anomaly detection
- globally distributed
- global knowledge
- automatic detection
- supervised learning
- fully distributed
- detection accuracy
- object detection
- cooperative
- detection method
- false positives
- detection rate
- semi supervised
- abnormal behavior
- global information
- false alarms
- fault tolerant
- machine learning
- computer networks
- federated databases
- mobile agents
- detect anomalies
- detecting anomalies
- peer to peer
- distributed systems
- pattern recognition
- object recognition
- remote sites
- data sets
- wide area network
- anomalous behavior
- deep learning
- distributed environment
- detection algorithm
- model selection
- bayesian networks
- feature selection
- learning algorithm
- neural network