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Declustering Objects for Visualization

Summary: Vector/algebraic declustering for image and cartographic databases assigns objects across any number K of disks in O(K^3 log K). It maximizes visualization area with at most one access per disk and stays within 7% of optimal for common queries. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8308
Venue
VLDB
Year
1993
Pagerank
5.4574671e-05
Overall Rank
8,292 | 43.11%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb93,
        title = {{Declustering Objects for Visualization}},
        author = {Chen, Ling Tony and Rotem, Doron},
        journal = {PVLDB},
        series = {{VLDB} '93},
        year = {1993}
}

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