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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
4250
Venue
SIGMOD
Year
2010
Pagerank
6.4354586e-05
Overall Rank
4,111 | 71.43%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,117 On the Spatiotemporal Burstiness of Terms 2012 VLDB 9.5088574e-05
4,937 UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics 2018 VLDB 5.8147395e-05
5,661 Trip Planning by an Integrated Search Paradigm 2018 SIGMOD 5.3859487e-05
6,596 Trajectory Similarity Join in Spatial Networks 2017 VLDB 4.9945871e-05
11,660 Top-k Queries over Digital Traces 2019 SIGMOD 4.1905499e-05
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