Decision Tree and Support Vector Machine for Anomaly Detection in Water Distribution Networks.
Dziri JalalTahar EzzedinePublished in: IWCMC (2020)
Keyphrases
- anomaly detection
- water distribution networks
- support vector machine
- decision trees
- decision forest
- intrusion detection
- training data
- machine learning
- training set
- multi class
- svm classifier
- detecting anomalies
- anomalous behavior
- support vector
- network anomaly detection
- network traffic
- network intrusion detection
- computer security
- detecting anomalous
- network security
- naive bayes
- intrusion detection system
- neural network
- unsupervised anomaly detection
- feature selection
- data sets
- one class support vector machines
- feature vectors
- unsupervised learning
- malware detection
- ensemble methods
- cost sensitive
- supervised learning
- knn
- normal behavior
- text mining
- pattern recognition
- data mining
- data mining methods