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Sampling-Based Estimation of the Number of Distinct Values of an Attribute

Summary: Proposes several sampling-based estimators for the number of distinct values (NDV) of an attribute and empirically compares them on highly-skewed real-world data. Introduces a hybrid estimator that blends a smoothed jackknife with Shlosser's method, maximizing precision for given sampling fraction and scalability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8278
Venue
VLDB
Year
1995
Pagerank
0.00064501896
Overall Rank
59 | 99.60%
DOI
-

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