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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
9415
Venue
VLDB
Year
2004
Pagerank
7.7470414e-05
Overall Rank
3,111 | 78.66%
DOI
10.1016/B978-012088469-8.50029-2

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{guha_vldb04,
        title = {{REHIST: Relative Error Histogram Construction Algorithms}},
        author = {Guha, Sudipto and Shim, Kyuseok and Woo, Jungchul},
        journal = {PVLDB},
        series = {{VLDB} '04},
        pages = {300--311},
        doi = {10.1016/B978-012088469-8.50029-2},
        url = {https://doi.org/10.1016/B978-012088469-8.50029-2},
        year = {2004}
}

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