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)
Incoming Non-self Citations Over Time
Authors
- 1. Reza Sherkat
- 2. Davood Rafiei
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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