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 (Microsoft)
- 2. Vivek Narasayya (Microsoft)
BibTeX Citation
@inproceedings{chen_sigmod05,
title = {{Efficient Computation of Multiple Group By Queries}},
author = {Chen, Zhimin and Narasayya, Vivek},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066188},
url = {https://dl.acm.org/doi/10.1145/1066157.1066188},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,020 | Optimization of Analytic Window Functions | 2012 | VLDB | 6.9513881e-05 |
| 6,658 | CURE for Cubes: Cubing Using a ROLAP Engine | 2006 | VLDB | 5.8104851e-05 |
| 9,339 | Efficient Exploration of Interesting Aggregates in RDF Graphs | 2021 | SIGMOD | 5.2869213e-05 |
| 10,002 | COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics | 2021 | VLDB | 5.1814573e-05 |
| 11,609 | High-dimensional Data Cubes | 2022 | VLDB | 5.093636e-05 |
| 12,713 | Composite Subset Measures | 2006 | VLDB | 5.093636e-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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