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Efficient Haar+ Synopsis Construction for the Maximum Absolute Error Measure

Summary: Proposes efficient Haar+ synopsis construction for maximum absolute error measure by keeping a minimal set of optimal synopses per node. Also introduces coefficient-value restrictions and grouping into compact representations to speed up computation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11940
Venue
VLDB
Year
2018
Pagerank
5.093636e-05
Overall Rank
11,957 | 17.97%
DOI
10.14778/3136610.3136614

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BibTeX Citation

@article{kim_vldb18,
        title = {{Efficient Haar+ Synopsis Construction for the Maximum Absolute Error Measure}},
        author = {Kim, Jinhyun and Min, Jun-Ki and Shim, Kyuseok},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {1},
        pages = {40--52},
        doi = {10.14778/3136610.3136614},
        url = {https://doi.org/10.14778/3136610.3136614},
        year = {2018}
}

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