Using machine learning for anomaly detection in drinking water from distribution network.
Khadim GueyeAliou BolyNdiouma BamePublished in: ISCSIC (2023)
Keyphrases
- anomaly detection
- distribution network
- machine learning
- drinking water
- network anomaly detection
- intrusion detection
- ant colony algorithm
- detecting anomalies
- unsupervised learning
- traveling salesman problem
- network intrusion detection
- particle swarm
- supply chain
- intrusion detection system
- network traffic
- anomalous behavior
- power distribution networks
- artificial fish
- knowledge discovery
- data mining
- learning algorithm
- decision trees
- model selection
- detect anomalies
- text mining
- supervised learning
- network security
- ant colony optimization
- pattern recognition
- data mining applications
- feature selection
- one class support vector machines
- multi objective