Efficient Computation of Multiple Group By Queries
Summary: Many Group By queries on wide warehouse data; hardness of the problem motivates cross-query sharing techniques for efficient computation. Empirical results show substantial speedups versus commercial DBs for data-quality analysis. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhimin Chen
- 2. Vivek Narasayya
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,335 | Optimization of Analytic Window Functions | 2012 | VLDB | 6.2790346e-05 |
| 6,736 | CURE for Cubes: Cubing Using a ROLAP Engine | 2006 | VLDB | 4.9459588e-05 |
| 9,175 | Efficient Exploration of Interesting Aggregates in RDF Graphs | 2021 | SIGMOD | 4.383548e-05 |
| 9,850 | COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics | 2021 | VLDB | 4.2721228e-05 |
| 11,411 | High-dimensional Data Cubes | 2022 | VLDB | 4.1945683e-05 |
| 12,520 | Composite Subset Measures | 2006 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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