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P2P网络中基于K-means聚类的用户在线行为分析 被引量:2

K-means Clustering Based User Online Behavior Analysis in P2P Network
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摘要 使用K-means的聚类方法,从用户上下线规律的角度,对P2P网络中的用户进行了聚类分析,发现系统中存在稳定的节点类,以及在线规律呈现日周期规律但是与其他类节点可以互补的节点类,我们提出,合理有效地利用这些用户节点可以提高一些P2P系统的性能以及可靠性。 We use the K - means clustering algorithm to categorize users in P2P network from users' online and offline discipline point of view. We find that there exists stable node cluster, as well as day - period node cluster which are complementary to other clusters. We propose that rational and effective use of these user nodes can improve performance and reliability of some P2P systems.
出处 《微计算机应用》 2009年第11期24-27,共4页 Microcomputer Applications
关键词 P2P网络 用户在线行为 K-MEANS P2P network, user online behavior, K- means
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参考文献7

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二级参考文献17

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