S2N2: An interpretive semantic structure attention neural network for trajectory classification

• Main Authors: JIN, Canghong, TAO, Ting, LUO, Xianzhe, LIU, Zemin, WU, Minghui
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: human behavior understanding; interpretive trajectory structure; User classification; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5143; https://ink.library.smu.edu.sg/context/sis_research/article/6146/viewcontent/09044862_pvoa.pdf
• Institution: Singapore Management University

We have witnessed a rapid growth over past decades in sensor data mining (SDM), which aims at extracting valuable information automatically from large repositories of moving activity data. One of the significant SDM tasks is identifying humans through their transit modes using a variety of user-trac...