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Optimal and Approximate Computation of Summary Statistics for Range Aggregates

Summary: Algorithms to build histograms for arbitrary range-aggregate queries that are provably optimal or approximable (pseudo-polynomial time), extending beyond prior equality/prefix/hierarchical-only guarantees. Fast, provably-optimal wavelet-selection for range aggregates with experiments showing clear gains over prior methods. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1239
Venue
PODS
Year
2001
Pagerank
7.2408955e-05
Overall Rank
3,310 | 76.98%
DOI
-

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