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On Efficiently Searching Trajectories and Archival Data for Historical Similarities

Summary: Efficient similarity search on histories via summaries that prune non-qualifying histories for Lp/LCSS/DTW and enable retrieval. A finer approximation with a distance-error-minimizing algorithm enables scalable search up to 17D on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9723
Venue
VLDB
Year
2008
Pagerank
5.0042166e-05
Overall Rank
6,577 | 54.25%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,112 Searching Trajectories by Locations - An Efficiency Study 2010 SIGMOD 6.4422697e-05
4,849 Durable Top-k Search in Document Archives 2010 SIGMOD 5.8773304e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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