DBScholar

Back to papers

A Black-Box Approach to Query Cardinality Estimation

Summary: Black-box method: no plans or data stats, groups queries by syntax and learns per-family cardinality distributions from high-dimensional feature vectors (attrs, ops, constants, funcs, aggregates). Accurate, space- and compute-frugal estimates for remote/federated settings (Open SkyQuery), greatly improving caching/scheduling. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
60
Venue
CIDR
Year
2007
Pagerank
9.0625592e-05
Overall Rank
2,157 | 85.21%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{malik_cidr07,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '07},
        title = {{A Black-Box Approach to Query Cardinality Estimation}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Malik, Tanu and Burns, Randal and Chawla, Nitesh},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Previous Page 1 / 1 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