A Novel Methodology for the Automated Detection and Classification of Networking Anomalies.
Mohamed MoulayRafael A. García LeivaPablo J. Rojo MaroniJavier LazaroVincenzo MancusoAntonio Fernández AntaPublished in: INFOCOM Workshops (2020)
Keyphrases
- automated detection
- pattern recognition
- automated analysis
- machine learning
- classification accuracy
- decision trees
- classification method
- machine learning methods
- ultrasonic images
- support vector
- peer to peer
- support vector machine svm
- lung cancer
- decision support system
- fractal analysis
- support vector machine
- feature vectors
- expert systems
- feature space
- feature selection