Self-organizing maps for anomaly detection in fuel consumption. Case study: Illegal fuel storage in Bolivia.
Vanessa Gironda AquizeEduardo EmeryFernando Buarque de Lima NetoPublished in: LA-CCI (2017)
Keyphrases
- fuel consumption
- anomaly detection
- self organizing maps
- network anomaly detection
- unsupervised learning
- tuning parameters
- optimization model
- travel time
- intrusion detection
- network intrusion detection
- neural network
- network traffic
- intrusion detection system
- input data
- k means
- traffic conditions
- detect anomalies
- computer vision
- text mining
- support vector machine
- traffic light
- data mining