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ISF
2010
164views more  ISF 2010»
13 years 2 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
ESWA
2007
176views more  ESWA 2007»
13 years 5 months ago
Credit scoring with a data mining approach based on support vector machines
The credit card industry has been growing rapidly recently, and thus huge numbers of consumersā€™ credit data are collected by the credit department of the bank. The credit scorin...
Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang
AINA
2007
IEEE
13 years 11 months ago
Detecting Coordinated Distributed Multiple Attacks
This paper describes results concerning the robustness and generalization capabilities of kernel methods in detecting coordinated distributed multiple attacks (CDMA) using network...
Srinivas Mukkamala, Krishna Yendrapalli, Ram B. Ba...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
13 years 12 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
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
13 years 12 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is ļ¬...
Huyen Do, Alexandros Kalousis, Melanie Hilario