Prediction Cubes

Summary: Prediction cubes extend OLAP by storing a trained predictive model in each cell, rather than a numeric aggregate. Efficient computation via model decomposition enables roll-up/drill-down to compare predictive behavior across data granularity. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 9566
Venue: VLDB
Year: 2005
Pagerank: 5.883228e-05
Overall Rank: 6,414 | 56.00%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Bee-Chung Chen (University of Wisconsin)
2. Lei Chen (University of Wisconsin)
3. Yi Lin (University of Wisconsin)
4. Raghu Ramakrishnan (University of Wisconsin)

BibTeX Citation

@article{chen_vldb05,
        title = {{Prediction Cubes}},
        author = {Chen, Bee-Chung and Chen, Lei and Lin, Yi and Ramakrishnan, Raghu},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {982--993},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,587	Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach	2006	VLDB	6.6170389e-05
5,651	Sampling Cube: A Framework for Statistical OLAP Over Sampling Data	2008	SIGMOD	6.1336568e-05
6,038	Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse	2018	VLDB	5.9990929e-05
6,884	Explaining Inference Queries with Bayesian Optimization	2021	VLDB	5.7465524e-05
8,590	Bellwether Analysis: Predicting Global Aggregates from Local Regions	2006	VLDB	5.4062174e-05
12,370	Latent OLAP: Data Cubes over Latent Variables	2011	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
11	Implementing Data Cubes Efficiently	1996	SIGMOD	0.00071822821
5,955	Mining Multi-Dimensional Constrained Gradients in Data Cubes	2001	VLDB	6.0290092e-05

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7	207	On the Computation of Multidimensional Aggregates	1996	VLDB
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9	11,609	High-dimensional Data Cubes	2022	VLDB
10	13,963	CubeExplorer: Online Exploration of Data Cubes	2002	SIGMOD