Urban Trajectory Analytics: Day-of-Week Movement Pattern Mining Using Tensor Factorization
Urban Trajectory Analytics: Day-of-Week Movement Pattern Mining Using Tensor Factorization is a scholarly work, published in 2019 in ''IEEE Transactions on Intelligent Transportation Systems''. The main subjects of the publication include data mining, graph, computer science, factorization, tensor, Bluetooth, motion, trajectory, and analytics. The paper demonstrates the use of non-negative tensor factorization to extract underlying spatio-temporal movement patterns from large-scale urban trajectory data.