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Feature selection by multi-objective optimisation: application to network anomaly detection by hierarchical self-organising maps
(Universidad de la Costa, 2014-08-11)
Feature selection is an important and active issue in clustering and classification problems. By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus contributing to decreasing the ...
PCA filtering and probabilistic SOM for network intrusion detection
The growth of the Internet and, consequently, the number of interconnected computers, has exposed significant amounts of information to intruders and attackers. Firewalls aim to detect violations according to a predefined ...