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REHIST: Relative Error Histogram Construction Algorithms

Summary: REHIST constructs histograms under relative-error metrics, addressing the limits of absolute-error histograms and wavelet schemes. It provides optimal and fast approximation algorithms with guarantees, plus empirical validation on synthetic and real data showing improved relative-error accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9224
Venue
VLDB
Year
2004
Pagerank
8.1785955e-05
Overall Rank
2,748 | 80.89%
DOI
-

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