Abstract
Similarity search on uncertain trajectories has a wide range of applications. To the best of our knowledge, no previous work has addressed similarity search on uncertain trajectories. In this paper, we provides a complete set of techniques for spatiotemporal similarity search on uncertain trajectories.
This work is supported in part by the National Science Foundation of China (NSFC Grant No. 60803003, 60970124).
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Ma, C., Lu, H., Shou, L., Chen, G., Chen, S. (2011). Top-k Similarity Search on Uncertain Trajectories. In: Bayard Cushing, J., French, J., Bowers, S. (eds) Scientific and Statistical Database Management. SSDBM 2011. Lecture Notes in Computer Science, vol 6809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22351-8_49
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DOI: https://doi.org/10.1007/978-3-642-22351-8_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22350-1
Online ISBN: 978-3-642-22351-8
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