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Unbiased Estimation of Size and Other Aggregates Over Hidden Web Databases

Summary: Unbiased estimation of hidden web database size and aggregates via a restrictive query interface. Introduces query-efficient estimators with low variance, enabling approximate query processing and theoretical guarantees, backed by experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4361
Venue
SIGMOD
Year
2010
Pagerank
5.3876663e-05
Overall Rank
8,671 | 40.51%
DOI
10.1145/1807167.1807259

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dasgupta_sigmod10,
        title = {{Unbiased Estimation of Size and Other Aggregates Over Hidden Web Databases}},
        author = {Dasgupta, Arjun and Jin, Xin and Zhang, Nan and Jewell, Bradley and Das, Gautam},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807259},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807259},
        year = {2010}
}

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