Understanding User Behavior via Mobile Data Analysis

被引：0
|
作者：
Bulut, Eyuphan [1 ]
Szymanski, Boleslaw K. [2 ]
机构：
[1] Cisco Syst, 2300 President George Bush Highway, Richardson, TX 75082 USA
[2] RPI, Troy, NY 12180 USA
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recently, there has been a tremendous increase in demand for mobile data driven by the wide-spread usage of smartphone like devices. Besides the efforts of studies that propose ways for operators to handle this huge growth, there is also an emerging research area of analyzing this new type of user data. In this paper, we perform an analysis on mobile user data to understand general aggregated user behavior based on several parameters. We also investigate the reasons for the user behavior deviating from its general trend. Finally, we discuss several ways of utilizing the results of the analysis in this study in solving current problems operators face.
引用
收藏
页码：1563 / 1568
页数：6
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