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    TJS   2010
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    2010
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    A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
    13 years 11 months ago
    A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
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    This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
    Yasser Yasami, Saadat Pour Mozaffari
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    A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning methods
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