High-Dimensional OLAP: A Minimal Cubing Approach
Summary: Proposes a minimal cubing for high-dimensional OLAP; yields a thin cube layer with value-list indices on queried dims. Offers a compact layer enabling fast OLAP in original space; I/O costs scale with dimensionality and compare with full materialization. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaolei Li
- 2. Jiawei Han
- 3. Hector Gonzalez
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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