DBScholar

Back to papers

High-Dimensional OLAP: A Minimal Cubing Approach

Summary: Targets OLAP over high-dimensional (100+) data where full cubes are infeasible. Materializes only a thin cube layer plus value-list indexes, enabling flexible queries with I/O scaling favorably in dimensionality and near-full-cube performance. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9353
Venue
VLDB
Year
2004
Pagerank
7.1505817e-05
Overall Rank
3,753 | 74.26%
DOI
10.1016/B978-012088469-8.50048-6

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb04,
        title = {{High-Dimensional OLAP: A Minimal Cubing Approach}},
        author = {Li, Xiaolei and Han, Jiawei and Gonzalez, Hector},
        journal = {PVLDB},
        series = {{VLDB} '04},
        pages = {528--539},
        doi = {10.1016/B978-012088469-8.50048-6},
        url = {https://doi.org/10.1016/B978-012088469-8.50048-6},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 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