DBScholar

Back to papers

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)

Paper ID
9644
Venue
VLDB
Year
2006
Pagerank
5.8104851e-05
Overall Rank
6,658 | 54.33%
DOI
-

Incoming Non-self Citations Over Time

Authors

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
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers