Pattern Recognition and Anomaly Detection by Self-Organizing Maps in a Multi Month E-nose Survey at an Industrial Site.
Sabina LicenAlessia Di GilioJolanda PalmisaniStefania PetracconeGianluigi de GennaroPierluigi BarbieriPublished in: Sensors (2020)
Keyphrases
- anomaly detection
- self organizing maps
- network anomaly detection
- pattern recognition
- neural network
- unsupervised learning
- detecting anomalies
- intrusion detection
- network intrusion detection
- anomalous behavior
- computer vision
- image processing
- detecting anomalous
- network traffic
- neural gas
- one class support vector machines
- input data
- dimensionality reduction
- intrusion detection system
- negative selection algorithm
- detect anomalies
- connectionist systems
- cluster analysis
- natural language processing
- k means
- data analysis
- learning algorithm
- machine learning