Cleanliness Index

Cleanliness Index is a quantitative evaluation metric used in aggregate assessment to measure the degree of data purity or absence of noise, redundancy, and inconsistencies within a dataset or model output, distinguishing it from other evaluation metrics by specifically targeting the quality dimension of data hygiene.

20

Publications

1K

Citations

93

Authors

49

Institutions

Publications per year

2017–2026

11

Authors

93

  1. AA
    Ali Asghar Alesheikh

    K.N.Toosi University of Technology, Iran

    1 publications · 78 citations

    1

    h-index

  2. WL
    Wei Li

    Hunan University, China

    1 publications · 18 citations

    1

    h-index

  3. YX
    Yihua Xiao

    Qingdao University of Technology, China

    1 publications · 13 citations

    1

    h-index

  4. KK
    Katarzyna Kozłowska‐Petriczko

    Pomeranian Medical University, Poland

    1 publications · 18 citations

    1

    h-index

  5. MR
    Marcin Romańczyk

    Academy of Fine Arts in Katowice, Poland

    1 publications · 18 citations

    1

    h-index

1–5 of 93

Venues

  1. 2

    h-index

  2. 1

    h-index

  3. Endoscopy

    1 publications · 135 citations

    1

    h-index

  4. International Journal of Pavement Engineering

    1 publications · 24 citations

    1

    h-index

  5. Ocean & Coastal Management

    1 publications · 365 citations

    1

    h-index

1–5