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)
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 |
|---|---|---|---|---|
| 4,648 | Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach | 2006 | VLDB | 6.4867043e-05 |
| 5,783 | Sampling Cube: A Framework for Statistical OLAP Over Sampling Data | 2008 | SIGMOD | 5.9963988e-05 |
| 6,143 | Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse | 2018 | VLDB | 5.8721471e-05 |
| 7,028 | Explaining Inference Queries with Bayesian Optimization | 2021 | VLDB | 5.6177289e-05 |
| 8,750 | Bellwether Analysis: Predicting Global Aggregates from Local Regions | 2006 | VLDB | 5.2851374e-05 |
| 12,661 | Latent OLAP: Data Cubes over Latent Variables | 2011 | SIGMOD | 4.9793485e-05 |
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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 | 0.00071084324 |
| 6,076 | Mining Multi-Dimensional Constrained Gradients in Data Cubes | 2001 | VLDB | 5.8940835e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,782 | Efficacious Data Cube Exploration by Semantic Summarization and Compression | 2003 | VLDB |
| 2 | 1,874 | Efficient Computation of Iceberg Cubes with Complex Measures | 2001 | SIGMOD |
| 3 | 984 | User-adaptive exploration of multidimensional data | 2000 | VLDB |
| 4 | 4,032 | Hierarchical Cubes for Range-Sum Queries | 1999 | VLDB |
| 5 | 3,841 | High-Dimensional OLAP: A Minimal Cubing Approach | 2004 | VLDB |
| 6 | 3,222 | Graph Cube: On Warehousing and OLAP Multidimensional Networks | 2011 | SIGMOD |
| 7 | 214 | On the Computation of Multidimensional Aggregates | 1996 | VLDB |
| 8 | 12,661 | Latent OLAP: Data Cubes over Latent Variables | 2011 | SIGMOD |
| 9 | 11,917 | High-dimensional Data Cubes | 2022 | VLDB |
| 10 | 14,274 | CubeExplorer: Online Exploration of Data Cubes | 2002 | SIGMOD |