The nature of statistical learning theory
The nature of statistical learning theory
Independent component analysis: algorithms and applications
Neural Networks
An introduction to variable and feature selection
The Journal of Machine Learning Research
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Credit-based network management
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
Key research challenges in network management
IEEE Communications Magazine
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
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Nowadays network management becomes a more and more challenging issue and is no longer limited to the routine maintenance of software and hardware. This paper proposes a primitive credit scoring system for the network management. The database contains the records of the abnormal events on a campus network for the past two years, which has been sorted by [1]. Records are analyzed and divided into two classes according to their different probabilities of abnormal behavior by applying Principle Component Analysis (PCA) to obtain the weight of each attribute. Five-fold method is employed to train the Support Vector Machine (SVM) classifier. The result indicates that SVM classifier is effective and the system performs well. The credit scoring system can then give various starting credit scores according to the class the user belongs to. We hope to have finer classification of users to enhance the credit scoring system in future work.