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Self-tuning Histograms: Building Histograms Without Looking at Data

Summary: Self-tuning histograms infer distributions from query-execution feedback, not data samples, and refine via range-selectivity observations. Data-size independent, cheaper than multi-dimensional histograms; effective for low–moderate skew, with initialization/refinement techniques and experimental validation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3098
Venue
SIGMOD
Year
1999
Pagerank
0.00020828852
Overall Rank
529 | 96.33%
DOI
-

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