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Top-down statistical estimation on a database

Summary: Top-down estimation for databases: precompute a general database abstract of statistics. A rule-based inference engine as an expert system yields bounded estimates of arbitrary statistics on demand, with advantages over bottom-up sampling. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2279
Venue
SIGMOD
Year
1983
Pagerank
0.00010875661
Overall Rank
1,405 | 90.37%
DOI
10.1145/582192.582217

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{rowe_sigmod83,
        title = {{Top-down statistical estimation on a database}},
        author = {Rowe, Neil C.},
        series = {{SIGMOD} '83},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/582192.582217},
        url = {https://dl.acm.org/doi/10.1145/582192.582217},
        year = {1983}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
36 Accurate Estimation Of The Number Of Tuples Satisfying A Condition 1984 SIGMOD 0.00048351457
992 Query Size Estimation by Adaptive Sampling (Extended Abstract) 1990 PODS 0.00012790174
1,382 Estimating the Size of Generalized Transitive Closures 1989 VLDB 0.00010965236
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

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