Art

J-GLOBAL ID：201602277067252344   Reference number：16A1076385

Predicting Shopper Volume Using ARIMA on Public Wi-Fi Signals

公共WiFi信号についてARIMAを用いて買物客数量を予測する

Author (3)： TAN Ian K.T. (Multimedia Univ., Selangor, MYS) ,  YAIK Ooi Boon (Universiti Tunku Abdul Rahman, Perak, MYS) ,  SHENG Ooi Boon (Web Bytes Sdn Bhd, Pulau Pinang, MYS)
Material： Information (Koganei)
Volume： 19  Issue： 8(A)  Page： 3295-3300  Publication year： Aug. 2016 
JST Material Number： L7416A  ISSN： 1343-4500  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *wireless LAN ,  *shopping mall ,  ARMA model ,  *forecast ,  autocorrelation function ,  rehabilitation management ,  holding ,  customer retention ,  *time series forecast ,  Auto Regressive Integrated Moving Average model ,  *wireless-fidelity
Semi thesaurus term： ARIMA ,  *Wireless Fidelity

JST classification (2)： Marketing  (KA06020W) ,  Numerical computation  (JE02000J)

Reference (8)：

• Poo, Kuan Hoong, Ian K T Tan, and Kai Weng Chai. ”A Comparison of People Counting Techniques via Video Scene Analysis.” Journal of Engineering and Applied Sciences, vol. 10, no. 23, pp. 18123-8129, ARPN, 2015.
• David Ryan, Simon Denman, Sridha Sridharan and Clinton Fookes. ”An evaluation of crowd counting methods, features and regression models.” Computer Vision and Image Understanding, vol. 130, pp. 1-17, Elsevier, January 2015.
• Barbera, Marco V., Alessandro Epasto, Alessandro Mei, Vasile C. Perta, and Julinda Stefa. ”Signals from the crowd: uncovering social relationships through smartphone probes.” In Proceedings of the 2013 conference on Internet measurement conference, pp. 265-276. ACM, 2013.
• Schmidt, André. ”Low-cost Crowd Counting in Public Spaces.” 2013. http://andsch.com/sites/default/files/crowd_counting_andre_schmidt.pdf. Accessed December 28, 2015.
• ”U.S. Shopping-Center Classification and Characteristics”. International Council of Shopping Centers. Accessed December 27 2015. http://www.icsc.org/uploads/research/general/US_CENTER_CLASSIFICATION.pdf.

Terms in the title (5)： WiFi ,  ARIMA ,  買物 ,  客 ,  予測