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The Polynomial Complexity of Fully Materialized Coalesced Cubes

Summary: Analytical framework for estimating coalesced cubes' size and complexity; demonstrates polynomial scaling with dimensionality and data volume, making 100%-precision full cubes tractable. Metadata-based estimator predicts coalesced cube size before computation; validated on uniform, Zipfian, and real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9163
Venue
VLDB
Year
2004
Pagerank
4.8413336e-05
Overall Rank
7,081 | 50.74%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,549 GORDIAN: Efficient and Scalable Discovery of Composite Keys 2006 VLDB 8.5641554e-05
5,987 Sampling Cube: A Framework for Statistical OLAP Over Sampling Data 2008 SIGMOD 5.2432535e-05
6,736 CURE for Cubes: Cubing Using a ROLAP Engine 2006 VLDB 4.9459588e-05
12,409 Dwarfs in the Rearview Mirror: How Big are they Really? 2008 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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