Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets
Summary: Wavelet-based compact data cube for sparse, high-dimensional data enables approximate OLAP aggregates. Two I/O-efficient construction algorithms; online queries require one to a few I/Os with tunable accuracy, outperforming histograms and random sampling. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jeffrey Scott Vitter
- 2. Min Wang
Incoming Citations (Sorted by Pagerank)
Showing 3 of 53 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,346 | A Wavelet Transform for Efficient Consolidation of Sensor Relations with Quality Guarantees | 2009 | VLDB | 4.1905499e-05 |
| 12,619 | AIMS: An Immersidata Management System | 2003 | CIDR | 4.1905499e-05 |
| 12,652 | How to Evaluate Multiple Range-Sum Queries Progressively | 2002 | PODS | 4.1905499e-05 |
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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