DBScholar

Back to papers

Improved Histograms for Selectivity Estimation of Range Predicates

Summary: Proposes a systematic taxonomy of histograms for range-predicate selectivity estimation, unifying prior types and enabling novel design combinations. Demonstrates sampling to reduce histogram construction cost and empirically evaluates types on range queries to identify the best performers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2954
Venue
SIGMOD
Year
1996
Pagerank
0.00048481081
Overall Rank
35 | 99.77%
DOI
10.1145/233269.233342

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{poosala_sigmod96,
        title = {{Improved Histograms for Selectivity Estimation of Range Predicates}},
        author = {Poosala, Viswanath and Ioannidis, Yannis E. and Haas, Peter J. and Shekita, Eugene J.},
        series = {{SIGMOD} '96},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/233269.233342},
        url = {https://dl.acm.org/doi/10.1145/233269.233342},
        year = {1996}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 112 citing papers.

Previous Page 3 / 3 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 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