Attribute Data Analysis

Attribute Data Analysis is a methodological framework within quality data analysis that systematically evaluates categorical or discrete characteristics of data entities to assess their conformance to specified quality standards.

136

Publications

6.1K

Citations

335

Authors

181

Institutions

Publications per year

2017–2026

27

Authors

335

  1. RG
    Rong Ge

    Clemson University, United States

    3 publications · 141 citations

    3

    h-index

  2. ME
    Martin Ester

    Simon Fraser University, Canada

    3 publications · 141 citations

    3

    h-index

  3. OE
    Oliver E. Drummond

    National Society of Professional Engineers, United States

    3 publications · 59 citations

    3

    h-index

  4. ZX
    Zhongyuan Xu

    Stony Brook University, United States

    2 publications · 190 citations

    2

    h-index

  5. TT
    Takeshi Tokuyama

    Hitachi (Japan), Japan

    2 publications · 303 citations

    2

    h-index

1–5 of 335

Venues

  1. 6

    h-index

  2. Journal of Quality Technology

    4 publications · 324 citations

    4

    h-index

  3. 4

    h-index

  4. Procedia Computer Science

    3 publications · 102 citations

    3

    h-index

  5. International Journal of Production Research

    3 publications · 134 citations

    3

    h-index

1–5