Scalable Sweeping-Based Spatial Join
Summary: SSSJ for the filter step with unindexed inputs; robust to skew and worst-case data. Combines distribution-sweeping with optimized in-memory plane-sweep to achieve near-optimal I/O, with comparison to PBSM. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lars Arge (Duke University)
- 2. Octavian Procopiuc (Duke University)
- 3. Sridhar Ramaswamy (AT&T)
- 4. Torsten Suel (AT&T)
- 5. Jeffrey Scott Vitter (Duke University)
BibTeX Citation
@article{arge_vldb98,
title = {{Scalable Sweeping-Based Spatial Join}},
author = {Arge, Lars and Procopiuc, Octavian and Ramaswamy, Sridhar and Suel, Torsten and Vitter, Jeffrey Scott},
journal = {PVLDB},
series = {{VLDB} '98},
pages = {570--581},
year = {1998}
}
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