DBScholar

Back to papers

New Sampling-Based Summary Statistics for Improving Approximate Query Answers

Summary: Introduces concise samples and counting samples—two sampling-based summary statistics for fast approximate answers. Demonstrates fast incremental maintenance across distributions, outperforming standard sample views in view-size efficiency; enables hot-list query speedups under continuous insertions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3087
Venue
SIGMOD
Year
1998
Pagerank
0.00029226907
Overall Rank
149 | 98.98%
DOI
10.1145/276304.276334

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gibbons_sigmod98,
        title = {{New Sampling-Based Summary Statistics for Improving Approximate Query Answers}},
        author = {Gibbons, Phillip B. and Matias, Yossi},
        series = {{SIGMOD} '98},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/276304.276334},
        url = {https://dl.acm.org/doi/10.1145/276304.276334},
        year = {1998}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 59 citing papers.

Previous Page 2 / 2 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers