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Searching Trajectories by Locations - An Efficiency Study

Summary: Defines k-BCT: top-k trajectories that best connect a small query-location set using distance+order similarity. Uses Incremental kNN (IKNN) on a spatial index with lower/upper bound pruning; adapts best-first/DFS k-NN and demonstrates optimizations and experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4249
Venue
SIGMOD
Year
2010
Pagerank
6.4422697e-05
Overall Rank
4,112 | 71.40%
DOI
-

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Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,116 On the Spatiotemporal Burstiness of Terms 2012 VLDB 9.5180761e-05
4,916 UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics 2018 VLDB 5.8300787e-05
5,650 Trip Planning by an Integrated Search Paradigm 2018 SIGMOD 5.3911246e-05
6,595 Trajectory Similarity Join in Spatial Networks 2017 VLDB 4.9993852e-05
11,655 Top-k Queries over Digital Traces 2019 SIGMOD 4.1945683e-05
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