Anomaly detection for drinking water quality via deep biLSTM ensemble.
Xingguo ChenFan FengJikai WuWenyu LiuPublished in: GECCO (Companion) (2018)
Keyphrases
- anomaly detection
- water quality
- one class support vector machines
- intrusion detection
- anomalous behavior
- water resources
- ensemble learning
- detecting anomalies
- network traffic
- network intrusion detection
- unsupervised anomaly detection
- water treatment
- ensemble methods
- neural network
- measured data
- computer security
- detecting anomalous
- behavior analysis
- grey relational analysis
- network anomaly detection
- learning algorithm
- network intrusion
- training set
- pattern recognition
- training data
- negative selection algorithm
- network security
- unsupervised learning
- connectionist systems