CURE for Cubes: Cubing Using a ROLAP Engine
Summary: ROLAP-based cubing with hierarchies; novel lattice traversal for complex cube lattices. Optimized partitioning and redundancy-free storage enable complete cubes on very large datasets; first to complete the APB-1 highest-density cube (12 GB). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Konstantinos Morfonios (University of Athens)
- 2. Yannis Ioannidis (University of Athens)
BibTeX Citation
@article{morfonios_vldb06,
title = {{CURE for Cubes: Cubing Using a ROLAP Engine}},
author = {Morfonios, Konstantinos and Ioannidis, Yannis},
journal = {PVLDB},
series = {{VLDB} '06},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,500 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD | 7.3597562e-05 |
| 8,229 | Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data | 2007 | VLDB | 5.4620216e-05 |
| 11,609 | High-dimensional Data Cubes | 2022 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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