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
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Outgoing Citations (Sorted by Pagerank)
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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 | 0.0011708144 |
| 59 | Sampling-Based Estimation of the Number of Distinct Values of an Attribute | 1995 | VLDB | 0.00064501896 |
| 247 | On the Computation of Multidimensional Aggregates | 1996 | VLDB | 0.00030927763 |
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| 996 | Approximating Multi-Dimensional Aggregate Range Queries Over Real Attributes | 2000 | SIGMOD | 0.00014741524 |
| 269 | Fast Incremental Maintenance of Approximate Histograms | 1997 | VLDB | 0.00029656549 |