Machine learning classification algorithms and anomaly detection in conventional meters and Tunisian electricity consumption large datasets.
Simona Vasilica OpreaAdela BâraPublished in: Comput. Electr. Eng. (2021)
Keyphrases
- anomaly detection
- machine learning
- machine learning algorithms
- one class support vector machines
- intrusion detection
- unsupervised learning
- network intrusion detection
- decision trees
- pattern recognition
- electricity consumption
- detecting anomalies
- text classification
- supervised learning
- cost sensitive
- feature extraction
- learning algorithm
- data mining algorithms
- intrusion detection system
- knowledge discovery
- computational intelligence
- support vector machine
- network anomaly detection
- data mining
- data sets
- negative selection algorithm
- network traffic
- model selection
- text mining
- active learning
- feature vectors
- object recognition
- feature selection
- neural network