Quantile Aggregation

Quantile Aggregation is a statistical method that computes specific percentiles or quantiles from a dataset to summarize or analyze the distribution of aggregated values, distinguishing it from other aggregation techniques by focusing on positional measures rather than central tendencies or totals.

19

Publications

725

Citations

57

Authors

51

Institutions

Publications per year

2017–2026

8

Authors

57

  1. SC
    Siyao Cheng

    Harbin Institute of Technology, China

    3 publications · 271 citations

    3

    h-index

  2. ZC
    Zhipeng Cai

    Georgia State University, United States

    3 publications · 271 citations

    3

    h-index

  3. YL
    Yingshu Li

    Georgia State University, United States

    2 publications · 116 citations

    2

    h-index

  4. JY
    Jiguo Yu

    Qufu Normal University, China

    1 publications · 100 citations

    1

    h-index

  5. PB
    Peter Bailis

    Stanford University, United States

    1 publications · 53 citations

    1

    h-index

1–5 of 57

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 70 citations

    2

    h-index

  2. ACM Transactions on Sensor Networks

    1 publications · 100 citations

    1

    h-index

  3. Journal of Environmental Management

    1 publications · 22 citations

    1

    h-index

  4. Water

    1 publications · 14 citations

    1

    h-index

  5. The VLDB Journal

    1 publications · 43 citations

    1

    h-index

1–5