Comparing Different Labeling Strategies in Anomalous Power Consumptions Detection.
Fernanda RodríguezFederico LecumberryAlicia FernándezPublished in: ICPRAM (Selected Papers) (2014)
Keyphrases
- anomaly detection
- detecting anomalous
- object detection
- detection method
- power consumption
- automatic detection
- detection algorithm
- unsupervised learning
- detection accuracy
- neural network
- detection rate
- object recognition
- false alarms
- case study
- database
- false positives
- search strategies
- detection scheme
- detect anomalies
- intrusion detection
- supervised learning
- hidden markov models
- decision trees
- knowledge base
- social networks
- data sets