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Analysis of mobile subscribers' behavior pattern based on non-negative matrix factorization

机译:基于非负矩阵分解的移动用户行为模式分析

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As the increasing number of intelligent mobile phones that are available for people which lead to tones of network flow data are produced. Hence, how to dig the user's behavior pattern by using the data collected form mobile phones is a significant problem. While some achievements have been made in this area, it is still too complicated to be put into practice due to various conditions needed by traditional research method. Meanwhile, users' data of mobile communication network gradually improved, so that it only requires part of information to reach the ideal status. Hence, we propose a Non-negative Matrix Factorization based method to analyze the mobility patterns of mobile phone users, i.e., find the groups of people with the similar mobility patterns. The experimental results on the real data obtained from the capital of a south province validate our proposed method.
机译:由于生产的越来越多的智能手机,可以产生导致网络流量数据的音调的人。因此,如何通过使用收集的数据移动手机来挖掘用户的行为模式是一个重要的问题。虽然在这一领域取得了一些成就,但由于传统研究方法所需的各种条件,仍然过于复杂。同时,用户对移动通信网络的数据逐渐提高,因此它仅需要部分信息来达到理想状态。因此,我们提出了一种非负矩阵分解基于方法,以分析移动电话用户的移动模式,即,找到具有类似移动模式的人群。从南省首都获得的实验结果验证了我们所提出的方法。

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