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Towards Estimation Error Guarantees for Distinct Values

Summary: Prove any sublinear-sample estimator for distinct counts must suffer large error on some natural distributions unless it reads a large fraction of the data. Give an estimator matching this lower bound and practical heuristics for typical distributions, validated empirically. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1217
Venue
PODS
Year
2000
Pagerank
0.0002497492
Overall Rank
378 | 97.38%
DOI
-

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