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)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaolei Li (University of Illinois Urbana-Champaign)
- 2. Jiawei Han (University of Illinois Urbana-Champaign)
- 3. Hector Gonzalez (University of Illinois Urbana-Champaign)
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}
}
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