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)
Incoming Non-self Citations Over Time
Authors
- 1. Dong Xin (University of Illinois Urbana-Champaign)
- 2. Jiawei Han (University of Illinois Urbana-Champaign)
- 3. Xiaolei Li (University of Illinois Urbana-Champaign)
- 4. Benjamin W. Wah (University of Illinois Urbana-Champaign)
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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