ShopProfiler: Profiling Shops with Crowdsourcing Data

• Main Authors: GUO, Xiaonan, CHAN, Eddie C. L., LIU, Ce, WU, Kaishun, LIU, Siyuan, NI, Lionel
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Legged locomotion; Mobile handsets; IEEE 802.11 Standards; Sociology; Statistics; Radiation detectors; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3478; https://ink.library.smu.edu.sg/context/sis_research/article/4479/viewcontent/C98___ShopProfiler_Profiling_Shops_with_Crowdsourcing_Data__IEEE2014_.pdf
• Institution: Singapore Management University

Sensing data from mobile phones provide us exciting and profitable applications. Recent research focuses on sensing indoor environment, but suffers from inaccuracy because of the limited reachability of human traces or requires human intervention to perform sophisticated tasks. In this paper, we pre...