Estimation of National Tourism Statistics Based on Wi-Fi Association Log Data

被引：0
|
作者：
Koide, Noriaki [1 ]
Ichifuji, Yu [2 ]
Yoshii, Hideki [3 ]
Sonehara, Noboru
机构：
[1] Natl Inst Informat, Informat & Soc Res Div, Tokyo, Japan
[2] Nagasaki Univ, Ctr Informat & Commun Technol, Nagasaki, Japan
[3] SofiBank Corp, Tokyo, Japan
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2016年
关键词：
Wi-Fi; National Tourism Statistics; Estimation; Dynamic Linear Model; Kalman filter;
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：
In this paper, we discuss the estimation of national tourism statistics based on Wi-Fi association log data. This estimation allows us to evaluate the number of tourist in real time. In order to grasp a characteristic of Wi-Fi association log data, time series data were analyzed using paired t-test on each growth rates. A simple estimation result is shown.
引用
收藏
页码：2175 / 2179
页数：5
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