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EDS: A Segment-based Distance Measure for Sub-trajectory Similarity Search

Summary: Sub-trajectory similarity search requires matching subpaths, not whole trajectories; existing distance measures miss segmental similarity. EDS (Edit Distance on Segment), a segment-based distance measure, is proposed for sub-trajectory search; real-data experiments show its superiority. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4923
Venue
SIGMOD
Year
2014
Pagerank
5.7471855e-05
Overall Rank
7,147 | 50.33%
DOI
10.1145/2588555.2612665

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,775 Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning 2020 VLDB 6.1558432e-05
11,259 Efficient Non-Learning Similar Subtrajectory Search 2023 VLDB 5.1725247e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
226 Robust and Fast Similarity Search for Moving Object Trajectories 2005 SIGMOD 0.00024196346
319 On The Marriage of Lp-norms and Edit Distance 2004 VLDB 0.00021432452
1,091 Trajectory Clustering: A Partition-and-Group Framework 2007 SIGMOD 0.00012313678
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