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SIGMOD
2006
ACM
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SIGMOD 2006
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Supporting ad-hoc ranking aggregates
14 years 11 months ago
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eagle.cs.uiuc.edu
This paper presents a principled framework for efficient processing of ad-hoc top-k (ranking) aggregate queries, which provide the k groups with the highest aggregates as results....
Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas
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