Relaxing Join and Selection Queries
Summary: Introduces a lattice-based framework to relax join and selection queries until an answer appears. Nodes encode relaxation options; algorithms compute minimal-relaxation answers and efficient lattice traversal, with comprehensive evaluation on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nick Koudas (University of Toronto)
- 2. Chen Li (University of California Irvine)
- 3. Anthony K. H. Tung (National University of Singapore)
- 4. Rares Vernica (University of California Irvine)
BibTeX Citation
@article{koudas_vldb06,
title = {{Relaxing Join and Selection Queries}},
author = {Koudas, Nick and Li, Chen and Tung, Anthony K. H. and Vernica, Rares},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {199--210},
year = {2006}
}
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