Computing Iceberg Queries Efficiently
Summary: Proposes memory-efficient iceberg-query algorithms for thresholded aggregates over large inputs. Compared with sorting or hashing-based methods, they need far fewer passes and little memory; validated on a 3GB Web data study with clear savings. (summarized by gpt-5-nano on Feb 09 2026)
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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 |
|---|---|---|---|---|
| 117 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.00045896865 |
| 657 | Dynamic Itemset Counting and Implication Rules for Market Basket Data | 1997 | SIGMOD | 0.00018553891 |
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| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,432 | Aggregate Estimation Over Dynamic Hidden Web Databases | 2014 | VLDB | 4.3431757e-05 |
| 1,191 | Fast Computation of Sparse Datacubes | 1997 | VLDB | 0.00013434201 |
| 3,991 | Beyond Simple Aggregates: Indexing for Summary Queries | 2011 | PODS | 6.5553055e-05 |
| 5,736 | Efficient Computation of Multiple Group By Queries | 2005 | SIGMOD | 5.3482537e-05 |
| 2,190 | Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration | 2003 | VLDB | 9.3317645e-05 |
| 8,066 | Optimizing Iceberg Queries with Complex Joins | 2017 | SIGMOD | 4.5937212e-05 |
| 9,688 | Iceberg-cube Computation with PC Clusters | 2001 | SIGMOD | 4.3047774e-05 |
| 6,431 | Finding Global Icebergs over Distributed Data Sets | 2006 | PODS | 5.0654592e-05 |
| 472 | Bottom-Up Computation of Sparse and Iceberg CUBEs | 1999 | SIGMOD | 0.00022346384 |
| 1,955 | Efficient Computation of Iceberg Cubes with Complex Measures | 2001 | SIGMOD | 9.9629452e-05 |