大规模人员流动数据挖掘的启示:(特邀论文)

Guangshuo Chen, A. C. Viana, M. Fiore
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引用次数: 5

摘要

利用移动设备执行数据分析是典型的雾计算应用程序,它利用了网络边缘的智能。这样的应用程序依赖于移动设备及其用户的移动性知识,例如,在边缘有效地部署计算任务。本文综述了运营商收集的CDR(充电数据记录)与移动性相关的利用的文献,CDR是大规模人类移动性研究中最重要的代表。我们提供了一个创新的CDR数据初步入门指南。它揭示了关于基于cdr的移动性特征计算和边缘应用的原始问题。我们的调查在利用移动设备进行人类移动性调查和雾计算方面发挥了重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Takeaways in Large-scale Human Mobility Data Mining : (Invited Paper)
Employing mobile devices to perform data analytics is a typical fog computing application that utilizes the intelligence at the edge of networks. Such an application relies on the knowledge of the mobility of mobile devices and their users, e.g., to deploy computation tasks efficiently at the edge. This paper surveys the literature on the mobility-related utilization of operator-collected CDR (charging data records) – the most sig- nificant proxy of large-scale human mobility studies. We provide an innovative introductory guide to the CDR data preliminary. It reveals original issues regarding CDR-based mobility feature computation and applications at the edge. Our survey plays an important role in utilizing mobile devices in terms of both human mobility investigation and fog computing.
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