Storage Estimation for Multidimensional Aggregates in the Presence of Hierarchies
Summary: Estimates storage blowup from precomputing multidimensional aggregates with hierarchies to guide precomputation decisions without materializing them. Three strategies: sampling, mathematical approximation, and probabilistic counting—analyzed; probabilistic counting offers provable error bounds with a single data scan across diverse distributions and schemas. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Amit Shukla (University of Wisconsin)
- 2. Jeffrey F. Naughton (University of Wisconsin)
- 3. Prasad M. Deshpande (University of Wisconsin)
- 4. Karthikeyan Ramasamy (University of Wisconsin)
BibTeX Citation
@article{shukla_vldb96,
title = {{Storage Estimation for Multidimensional Aggregates in the Presence of Hierarchies}},
author = {Shukla, Amit and Naughton, Jeffrey F. and Deshpande, Prasad M. and Ramasamy, Karthikeyan},
journal = {PVLDB},
series = {{VLDB} '96},
pages = {522},
year = {1996}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 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 |
| 75 | Sampling-Based Estimation of the Number of Distinct Values of an Attribute | 1995 | VLDB | 0.00037277061 |
| 207 | On the Computation of Multidimensional Aggregates | 1996 | VLDB | 0.00025088003 |
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