基于GSM通话记录的不同用户分组方法分析

S. S. Deshpande, N. Chauhan
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引用次数: 2

摘要

位置感知数据分析在普适计算和移动计算中起着重要的作用。在蜂窝式系统(例如,GSM)中,服务单元很容易作为用户位置的指示而获得,而不需要任何额外的硬件或网络服务。有了这些位置数据和其他上下文变量,就可以跟踪一起发布广告的移动用户组。本文的目的是回顾不同研究小组使用不同技术在发现用户上下文、移动用户的移动性预测、发现社会群体、移动通信网络中的欺诈检测等方面所进行的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Different Clustering Approaches for Grouping Users on the Basis of GSM Call Logs
Analysis of Location-aware data plays an important role in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily available as an indication of the user location, without any additional hardware or network services. With this location data and other context variables groups of mobile users who are advertised to the found together can be traced. The objective of this paper is to review the works carried out by different group of researchers using varied techniques in Discovering User context, Mobility Prediction of Mobile users, Discovering social groups, Fraud detection in mobile communications networks etc.
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