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Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration

Summary: Star-Cubing unifies top-down simultaneous aggregation with bottom-up Apriori pruning for iceberg cubes via a compact star-tree structure. It extends multi-dimensional aggregation while pruning failing group-bys, outperforming MultiWay, BUC, and H-Cubing across data distributions. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9189
Venue
VLDB
Year
2003
Pagerank
8.5025699e-05
Overall Rank
2,496 | 82.88%
DOI
10.1016/B978-012722442-8/50049-5

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{xin_vldb03,
        title = {{Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration}},
        author = {Xin, Dong and Han, Jiawei and Li, Xiaolei and Wah, Benjamin W.},
        journal = {PVLDB},
        series = {{VLDB} '03},
        doi = {10.1016/B978-012722442-8/50049-5},
        url = {https://doi.org/10.1016/B978-012722442-8/50049-5},
        year = {2003}
}

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