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Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
March 22, 2024, 4:42 a.m. | Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofan
cs.LG updates on arXiv.org arxiv.org
Abstract: Trajectory computing is a pivotal domain encompassing trajectory data management and mining, garnering widespread attention due to its crucial role in various practical applications such as location services, urban traffic, and public safety. Traditional methods, focusing on simplistic spatio-temporal features, face challenges of complex calculations, limited scalability, and inadequate adaptability to real-world complexities. In this paper, we present a comprehensive review of the development and recent advances in deep learning for trajectory computing (DL4Traj). We …
arxiv beyond cs.ai cs.cy cs.db cs.lg data data management deep learning management mining survey trajectory type
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