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Effective Use of Block-Level Sampling in Statistics Estimation

Summary: Block-level sampling is efficient but error-prone for statistics. Proposes a two-phase adaptive histogram algorithm using a phase-1 sample and a subset-extraction technique to adapt estimators to block-level distinct-value data; experiments show accuracy and speed gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hceca721f336d5413
Venue
SIGMOD
Year
2004
Pagerank
9.5575424e-05
Overall Rank
1,826 | 87.73%
DOI
10.1145/1007568.1007602

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chaudhuri_sigmod04,
        title = {{Effective Use of Block-Level Sampling in Statistics Estimation}},
        author = {Chaudhuri, Surajit and Das, Gautam and Srivastava, Utkarsh},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007602},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007602},
        year = {2004}
}

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