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

Authors

49

  1. GC
    Graham Cormode

    AT&T (United States), United States

    5 publications · 572 citations

    5

    h-index

  2. KY
    Ke Yi

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 245 citations

    3

    h-index

  3. XL
    Xuemin Lin

    UNSW Sydney, Australia

    3 publications · 111 citations

    3

    h-index

  4. ZW
    Zhewei Wei

    Renmin University of China, China

    3 publications · 245 citations

    3

    h-index

  5. WW
    Wei Wang

    University of California, Los Angeles, United States

    3 publications · 75 citations

    3

    h-index

1–5 of 49

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 130 citations

    2

    h-index

  2. International Conference on Scientific and Statistical Database Management

    SSDBM · Conference · 1 publications · 46 citations

    1

    h-index

  3. SoftwareX

    1 publications · 13 citations

    1

    h-index

  4. International Journal of Finance & Economics

    IJFE · 1 publications · 16 citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 14 citations

    1

    h-index

1–5