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Trajectory Data Pattern Mining
[chapter]
2014
Lecture Notes in Computer Science
In this paper, we study the problem of mining for frequent trajectories, which is crucial in many application scenarios, such as vehicle traffic management, hand-off in cellular networks, supply chain management. We approach this problem as that of mining for frequent sequential patterns. Our approach consists of a partitioning strategy for incoming streams of trajectories in order to reduce the trajectory size and represent trajectories as strings. We mine frequent trajectories using a sliding
doi:10.1007/978-3-319-08407-7_4
fatcat:7xk36duuvnc77cc5g3h7avrcmi