Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration
Summary: Star-Cubing merges top-down MultiWay and bottom-up BUC/H-Cubing via a star-tree to enable simultaneous multi-dimension aggregations. It prunes iceberg group-bys that fail the threshold, delivering strong, distribution-robust performance gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dong Xin
- 2. Jiawei Han
- 3. Xiaolei Li
- 4. Benjamin W. Wah
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,191 | Fast Computation of Sparse Datacubes | 1997 | VLDB | 0.00013434201 |
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| 8,507 | ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes | 2008 | SIGMOD | 4.4955397e-05 |
| 3,498 | Cubetree: Organization of and Bulk Incremental Updates on the Data Cube | 1997 | SIGMOD | 7.0389539e-05 |
| 9,688 | Iceberg-cube Computation with PC Clusters | 2001 | SIGMOD | 4.3047774e-05 |
| 11,411 | High-dimensional Data Cubes | 2022 | VLDB | 4.1945683e-05 |
| 247 | On the Computation of Multidimensional Aggregates | 1996 | VLDB | 0.00030927763 |
| 472 | Bottom-Up Computation of Sparse and Iceberg CUBEs | 1999 | SIGMOD | 0.00022346384 |
| 1,955 | Efficient Computation of Iceberg Cubes with Complex Measures | 2001 | SIGMOD | 9.9629452e-05 |