Anomaly Detection in Water Consumption Patterns Using Prediction and Clustering Approaches.
Codruta Maria SerbanGheorghe SebestyenAnca HanganPublished in: AQTR (2024)
Keyphrases
- anomaly detection
- clustering approaches
- water consumption
- intrusion detection
- detecting anomalies
- network intrusion detection
- network traffic
- intrusion detection system
- network anomaly detection
- clustering algorithm
- subspace clustering
- normal behavior
- clustering method
- anomalous behavior
- hierarchical clustering
- document clustering
- unsupervised learning
- k means
- negative selection algorithm
- detect anomalies
- machine learning
- one class support vector machines
- data sets
- feature vectors
- learning algorithm
- pattern recognition
- probabilistic model