Multi-dimensional Aggregation

Multi-Dimensional Aggregation is a data aggregation method that integrates and summarizes data across multiple dimensions or attributes simultaneously to enable complex analytical queries and multidimensional analysis.

119

Publications

13.3K

Citations

325

Authors

153

Institutions

Publications per year

2017–2026

23

Authors

325

  1. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    5 publications · 554 citations

    5

    h-index

  2. DG
    Dimitrios Gunopulos

    University of California, Riverside, United States

    3 publications · 335 citations

    3

    h-index

  3. AO
    Alberto O. Mendelzon

    University of Toronto, Canada

    3 publications · 167 citations

    3

    h-index

  4. EF
    Enrico Franconi

    Free University of Bozen-Bolzano, Italy

    3 publications · 133 citations

    3

    h-index

  5. MG
    Marek Ga̧golewski

    Warsaw University of Technology, Poland

    3 publications · 59 citations

    3

    h-index

1–5 of 325

Venues

  1. ACM SIGMOD Record

    8 publications · 864 citations

    8

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 643 citations

    3

    h-index

  3. Information Sciences

    2 publications · 87 citations

    2

    h-index

  4. CrystEngComm

    2 publications · 55 citations

    2

    h-index

  5. BioTechniques

    1 publications · 16 citations

    1

    h-index

1–5