CS2: A New Database Synopsis for Query Estimation
Summary: CS2 proposes Correlated Sample Synopsis for accurate join and selection estimation using correlated samples to preserve join structure with storage. Introduces reverse sampling and a reverse estimator; unbiased, competitive with baselines at the same space. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Feng Yu (Southern Illinois University Carbondale)
- 2. Wen-Chi Hou (Southern Illinois University Carbondale)
- 3. Cheng Luo (Coppin State University)
- 4. Dunren Che (Southern Illinois University Carbondale)
- 5. Mengxia Zhu (Southern Illinois University Carbondale)
BibTeX Citation
@inproceedings{yu_sigmod13,
title = {{CS2: A New Database Synopsis for Query Estimation}},
author = {Yu, Feng and Hou, Wen-Chi and Luo, Cheng and Che, Dunren and Zhu, Mengxia},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2463701},
url = {https://dl.acm.org/doi/10.1145/2463676.2463701},
year = {2013}
}
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