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QSkycube: Efficient Skycube Computation Using Point-Based Space Partitioning

Summary: QSkycube accelerates skycube construction by sharing computation across multiple parent cuboids and using a skytree for recursive point-based space partitioning. Its combined bottom-up/top-down strategy substantially outperforms prior skyline-sharing algorithms. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10439
Venue
VLDB
Year
2011
Pagerank
5.289545e-05
Overall Rank
9,320 | 36.06%
DOI
10.14778/1920841.1920846

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lee_vldb11,
        title = {{QSkycube: Efficient Skycube Computation Using Point-Based Space Partitioning}},
        author = {Lee, Jongwuk and Hwang, Seung-won},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {3},
        pages = {185--196},
        doi = {10.14778/1920841.1920846},
        url = {https://doi.org/10.14778/1920841.1920846},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,978 Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures 2017 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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