Data Distribution Analysis

Data Distribution Analysis is a method within the field of data profiling that characterizes the frequency, spread, and central tendencies of attribute values in a dataset to assess its structure and quality.

660

Publications

40.8K

Citations

2.2K

Authors

854

Institutions

Publications per year

2017–2026

286

Authors

2.2K

  1. NK
    Nick Koudas

    University of Toronto, Canada

    7 publications · 734 citations

    7

    h-index

  2. JL
    Jie Lü

    University of Technology Sydney, Australia

    6 publications · 343 citations

    6

    h-index

  3. GZ
    Guangquan Zhang

    University of Technology Sydney, Australia

    6 publications · 343 citations

    6

    h-index

  4. DS
    Divesh Srivastava

    AT&T (United States), United States

    5 publications · 1.2K citations

    5

    h-index

  5. GC
    Graham Cormode

    AT&T (United States), United States

    5 publications · 1.2K citations

    5

    h-index

1–5 of 2.2K

Venues

  1. arXiv (Cornell University)

    Repository · 36 publications · 2K citations

    20

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 12 publications · 1K citations

    11

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 9 publications · 346 citations

    9

    h-index

  4. PubMed

    Repository · 8 publications · 389 citations

    8

    h-index

  5. ACM SIGMOD Record

    7 publications · 380 citations

    7

    h-index

1–5