Olap Query Optimization
OLAP Query Optimization is a computational methodology within database systems that specifically enhances the efficiency and performance of multidimensional queries in Online Analytical Processing environments by minimizing query response time and resource consumption through strategic restructuring and indexing of query execution plans.
105
Publications
3.8K
Citations
279
Authors
106
Institutions
Publications per year
2017–2026
18
Parents
105
OLAP over uncertain and imprecise data
Doug Burdick, Prasad Deshpande, T. S. Jayram et al. · The VLDB Journal · 2006 · 178 citations
Condensed cube: an effective approach to reducing data cube size
Wang Wei, Jianlin Feng, Hongjun Lü et al. · 2003 · 167 citations
Nick Roussopoulos, Yannis Kotidis, Mema Roussopoulos · 1997 · 127 citations
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis
Cindy Xide Lin, Bolin Ding, Jiawei Han et al. · 2008 · 121 citations · Full text
1–5 of 105
279
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Athens University of Economics and Business, Greece
4 publications · 112 citations
4
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4
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3
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3
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1–5 of 279
106
Aalborg University
Aalborg, Denmark
7 h-index
14 publications
516 citations
AT&T (United States)
Bedminster, United States
5 h-index
7 publications
308 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
12 publications
209 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
4 h-index
8 publications
462 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
9 publications
562 citations

University of Calabria
Rende, Italy
4 h-index
4 publications
237 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
4 h-index
9 publications
195 citations

Stevens Institute of Technology
Hoboken, United States
3 h-index
3 publications
51 citations
1–8 of 106
6 publications · 259 citations
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PVLDB · 6 publications · 275 citations
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TODS · 4 publications · 126 citations
4
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2 publications · 38 citations
2
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2 publications · 55 citations
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1–5