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The Spark-based framework for mobile network data and cluster analysis on mobile users' behaviors

机译:移动网络数据的激发框架和移动用户行为的集群分析

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Mining data from mobile network data produced by mobile users becomes a hot issue in recent years. For the growth of these data, how to process and analyze these data becomes a challenging problem. A Spark-based framework is proposed in this paper, which process and analyze real mobile network data. CURE algorithm is implemented in this framework to cluster mobile users' behaviors parallelly, and discover their preferences in mobile network.
机译:近年来,移动用户产生的移动网络数据从移动网络数据挖掘数据。对于这些数据的增长,如何处理和分析这些数据成为一个具有挑战性的问题。本文提出了一种基于火花的框架,该框架进行了处理和分析真正的移动网络数据。固化算法在此框架中实施以并行群集移动用户的行为,并在移动网络中发现它们的偏好。

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