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Random Sampling over Joins Revisited
Summary: Revisits random sampling over multi-way joins (acyclic and cyclic) with a general framework that subsumes Chaudhuri et al.'s approach. Explores instantiations under different data priors, balancing latency and throughput, and demonstrates superiority over baselines.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h3cff514cb6ec7fb2
Venue
SIGMOD
Year
2018
Pagerank
0.00013903938
Overall Rank
793 | 94.69%
DOI
10.1145/3183713.3183739
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{zhao_sigmod18,
title = {{Random Sampling over Joins Revisited}},
author = {Zhao, Zhuoyue and Christensen, Robert and Li, Feifei and Hu, Xiao and Yi, Ke},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183739},
url = {https://dl.acm.org/doi/10.1145/3183713.3183739},
year = {2018}
}
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