How to Evaluate Multiple Range-Sum Queries Progressively
Summary: Wavelet-based technique for progressive evaluation of batched range-sum queries that exploits I/O sharing to deliver early estimates. Introduces structural-error penalty functions to control error profiles; exact, I/O-efficient, accurate even with <1 I/O/query. (summarized by gpt-5-mini on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,619 | AIMS: An Immersidata Management System | 2003 | CIDR | 4.1905499e-05 |
| 13,668 | ProDA: A Suite of Web-Services for Progressive Data Analysis | 2005 | SIGMOD | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 14 | Online Aggregation | 1997 | SIGMOD | 0.0010813443 |
| 275 | Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets | 1999 | SIGMOD | 0.00029381206 |
| 344 | Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries | 2001 | VLDB | 0.00026698826 |
| 416 | Approximate Query Processing Using Wavelets | 2000 | VLDB | 0.00023773968 |
| 649 | Progressive Approximate Aggregate Queries with a Multi-Resolution Tree Structure | 2001 | SIGMOD | 0.00018652362 |
| 825 | Simultaneous Optimization and Evaluation of Multiple Dimensional Queries | 1998 | SIGMOD | 0.00016171735 |
| 995 | Approximating Multi-Dimensional Aggregate Range Queries Over Real Attributes | 2000 | SIGMOD | 0.00014745185 |
| 1,363 | Range Queries in OLAP Data Cubes | 1997 | SIGMOD | 0.00012380611 |
| 3,292 | Optimal and Approximate Computation of Summary Statistics for Range Aggregates | 2001 | PODS | 7.2598265e-05 |
| 4,443 | Hierarchical Cubes for Range-Sum Queries | 1999 | VLDB | 6.1772772e-05 |
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