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Nowadays P2P traffic consumes a great amount of network bandwidth which brings many difficulties to network management. In order to accurately identify P2P traffic, this paper proposes a methodology based on flow statistics. At first it quickly eliminates those flow features irrelevant to class by the ReliefF algorithm, then from the rest features it uses a(More)
This research was aimed at estimating possible Coal workers' pneumoconiosis (CWP) cases as of 2012, and predicting future CWP cases among redeployed coal workers from the Fuxin Mining Industry Group. This study provided the scientific basis for regulations on CWP screening and diagnosis and labor insurance policies for redeployed coal workers of(More)
Over the past few years, Peer-to-Peer traffic has been consuming a lot of Internet traffic bandwidth and is still rising which brings great difficulties to network management. Traditional classification techniques such as port based and payload based have significant limitations. Hence, newer statistical approaches are adopted for P2P identification. P2P(More)
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