The Maximum Trajectory Coverage Query in Spatial Databases
Summary: Introduces kBFT and kBCovFT, including the latter’s non-submodular NP-hard coverage objective. The TQ-tree combines quadtree hierarchy with intra-node Z-ordering for trajectory-locality pruning, yielding 2–3 orders-of-magnitude speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Mohammed Eunus Ali (Bangladesh University of Engineering and Technology)
- 2. Shadman Saqib Eusuf (Bangladesh University of Engineering and Technology)
- 3. Kaysar Abdullah (Bangladesh University of Engineering and Technology)
- 4. Farhana M. Choudhury (Royal Melbourne Institute of Technology; University of Melbourne)
- 5. J. Shane Culpepper (Royal Melbourne Institute of Technology)
- 6. Timos Sellis (Swinburne University of Technology)
BibTeX Citation
@article{ali_vldb19,
title = {{The Maximum Trajectory Coverage Query in Spatial Databases}},
author = {Ali, Mohammed Eunus and Eusuf, Shadman Saqib and Abdullah, Kaysar and Choudhury, Farhana M. and Culpepper, J. Shane and Sellis, Timos},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {3},
pages = {197--209},
doi = {10.14778/3291264.3291266},
url = {https://doi.org/10.14778/3291264.3291266},
year = {2019}
}
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