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ABS: a System for Scalable Approximate Queries with Accuracy Guarantees

Summary: Analytical Bootstrap merges fast analytic error estimates with bootstrap for AQP. ABS uses a probabilistic-relational model and algebra to predict AQP distributions, enabling fast, general bootstrap-based accuracy estimates for SQL. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4901
Venue
SIGMOD
Year
2014
Pagerank
6.2492955e-05
Overall Rank
5,358 | 63.25%
DOI
10.1145/2588555.2594532

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zeng_sigmod14,
        title = {{ABS: a System for Scalable Approximate Queries with Accuracy Guarantees}},
        author = {Zeng, Kai and Gao, Shi and Gu, Jiaqi and Mozafari, Barzan and Zaniolo, Carlo},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2594532},
        url = {https://dl.acm.org/doi/10.1145/2588555.2594532},
        year = {2014}
}

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