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Due to the large volumes of data as well as the complex and dynamic properties of intrusion behaviors, data mining based intrusion detection techniques have been applied to network-based traffic data. With recent advances in computer technology large amounts of data could be collected and stored. Machine Learning techniques can help the integration of computer-based systems in the network environment providing opportunities to facilitate and enhance the work of network security experts. It ultimately improves the efficiency and quality of data and information.
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