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MMMACNS
2010
Springer
13 years 2 months ago
A Comparison of Feature-Selection Methods for Intrusion Detection
Hai Thanh Nguyen, Slobodan Petrovic, Katrin Franke
ISNN
2005
Springer
13 years 10 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
JAIHC
2010
205views more  JAIHC 2010»
13 years 3 months ago
Soft computing in intrusion detection: the state of the art
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten speciļ¬c areas of SC as well as ...
Chet Langin, Shahram Rahimi
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
13 years 11 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eļ¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
IJON
2006
146views more  IJON 2006»
13 years 5 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang