Maximal Vector Computation in Large Data Sets
Summary: Revisits maximal-vector/skyline computation, showing classic divide-and-conquer methods externalize poorly and degrade with dimension. Introduces LESS, an external algorithm combining prior strengths, with average-case O(kn) time and strong empirical performance. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Parke Godfrey (York University)
- 2. Ryan Shipley (The College of William and Mary)
- 3. Jarek Gryz (York University)
BibTeX Citation
@article{godfrey_vldb05,
title = {{Maximal Vector Computation in Large Data Sets}},
author = {Godfrey, Parke and Shipley, Ryan and Gryz, Jarek},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {229},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 243 | Efficient Progressive Skyline Computation | 2001 | VLDB | 0.00023495903 |
| 308 | Shooting Stars in the Sky: An Online Algorithm for Skyline Queries | 2002 | VLDB | 0.00021787597 |
| 623 | An Optimal and Progressive Algorithm for Skyline Queries | 2003 | SIGMOD | 0.00015684963 |
| 2,932 | Multi-objective Query Processing for Database Systems | 2004 | VLDB | 7.9475864e-05 |
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| 3 | 2,932 | Multi-objective Query Processing for Database Systems | 2004 | VLDB |
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| 9 | 4,727 | Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative | 2017 | SIGMOD |
| 10 | 5,016 | On Finding Skylines in External Memory | 2011 | PODS |