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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
4922
Venue
SIGMOD
Year
2014
Pagerank
4.8154472e-05
Overall Rank
7,151 | 50.26%
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
5,936 Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning 2020 VLDB 5.2654071e-05
11,257 Efficient Non-Learning Similar Subtrajectory Search 2023 VLDB 4.1945683e-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
251 Robust and Fast Similarity Search for Moving Object Trajectories 2005 SIGMOD 0.00030644658
358 On The Marriage of Lp-norms and Edit Distance 2004 VLDB 0.0002599481
1,126 Trajectory Clustering: A Partition-and-Group Framework 2007 SIGMOD 0.00013821443
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