Quantile Summaries
Quantile Summaries is a data summarization method that provides approximate quantile information of a dataset by compactly representing the distribution of values to enable efficient computation of order statistics within bounded error guarantees.
22
Publications
1.8K
Citations
49
Authors
35
Institutions
Publications per year
2017–2026
8
Parents
22
Space-efficient online computation of quantile summaries
Michael B. Greenwald, Sanjeev Khanna · 2001 · 456 citations
Holistic aggregates in a networked world
Graham Cormode, Minos Garofalakis, S. Muthukrishnan et al. · 2005 · 216 citations
Space-efficient online computation of quantile summaries
Michael B. Greenwald, Sanjeev Khanna · ACM SIGMOD Record · 2001 · 162 citations
Robust analogs to the coefficient of variation
Journal of Applied Statistics · 2020 · 160 citations · Full text
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang et al. · ACM Transactions on Database Systems · 2013 · 132 citations
1–5 of 22
49
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h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
3 publications · 245 citations
3
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3
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3
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3
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1–5 of 49
35

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
5 h-index
8 publications
558 citations

UNSW Sydney
Sydney, Australia
3 h-index
9 publications
264 citations
AT&T (United States)
Bedminster, United States
3 h-index
5 publications
345 citations
Bell (Canada)
Montreal, Canada
2 h-index
4 publications
722 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
4 publications
1.2K citations
Duke University
Durham, United States
2 h-index
2 publications
235 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
97 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
2 publications
263 citations
1–8 of 35
PVLDB · 3 publications · 130 citations
2
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SSDBM · Conference · 1 publications · 46 citations
1
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1 publications · 13 citations
1
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IJFE · 1 publications · 16 citations
1
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TKDE · 1 publications · 14 citations
1
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1–5