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Approximate MaxRS in Spatial Databases

Summary: Recasts 2D weighted MaxRS as a (1−ε)-approximation problem, trading an arbitrarily small loss in covered weight for substantially lower CPU/I/O cost. Presents fast algorithms with strong theoretical guarantees for finding near-optimal rectangle placements. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10831
Venue
VLDB
Year
2013
Pagerank
7.1861452e-05
Overall Rank
3,700 | 74.62%
DOI
10.14778/2536258.2536266

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tao_vldb13,
        title = {{Approximate MaxRS in Spatial Databases}},
        author = {Tao, Yufei and Hu, Xiaocheng and Choi, Dong-Wan and Chung, Chin-Wan},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {13},
        doi = {10.14778/2536258.2536266},
        url = {https://doi.org/10.14778/2536258.2536266},
        year = {2013}
}

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