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DigitHist: a Histogram-Based Data Summary with Tight Error Bounds

Summary: DigitHist: a histogram-based data summary for multi-dimensional selectivity with tight error bounds. Hybrid 1D/2D grids with sparse encoding and adaptive resolution; introduces u-error to minimize the gap between bounds; single-pass linear-time construction; superior precision at similar query time. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11435
Venue
VLDB
Year
2017
Pagerank
5.8924198e-05
Overall Rank
4,831 | 66.40%
DOI
-

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