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- W2353471573 abstract "The Self-Organizing Map(SOM) learning and classification algorithms are firstly modified.Then via the introduction of match-degree,reduction-rate and quantification error of reducing sample,a novel approach to intrusion detection based on multi-layered modified SOM neural network and Principal Component Analysis(PCA) is proposed.In this model,PCA is applied to feature selection,and multi-layered SOM is designed to subdivide the imprecise clustering in single-layered SOM layer by layer.Experimental results demonstrate that this model can provide a precise and efficient way for implementing the classifier in intrusion detection." @default.
- W2353471573 created "2016-06-24" @default.
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- W2353471573 date "2007-01-01" @default.
- W2353471573 modified "2023-09-23" @default.
- W2353471573 title "Novel Intrusion Detection Method Based on Multi-layer Self-organizing Map and Principal Component Analysis" @default.
- W2353471573 hasPublicationYear "2007" @default.
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