Data Standardization Rules

Data Standardization Rules is a methodological framework that specifies a set of consistent, predefined transformations and conventions for rescaling and restructuring data values into a common format or range to enable meaningful comparison and analysis across heterogeneous datasets.

15

Publications

477

Citations

53

Authors

25

Institutions

Publications per year

2017–2026

2

Authors

53

  1. LV
    L. Venkata Subramaniam

    IBM Research - India, India

    2 publications · 32 citations

    2

    h-index

  2. MM
    Mukesh Mohania

    IBM Research - India, India

    2 publications · 32 citations

    2

    h-index

  3. KP
    Kalika Prasad

    Indian Institute of Science Education and Research Thiruvananthapuram, India

    2 publications · 32 citations

    2

    h-index

  4. TA
    Tanveer A. Faruquie

    IBM Research - India, India

    2 publications · 32 citations

    2

    h-index

  5. SJ
    Sachindra Joshi

    IBM Research - India, India

    1 publications · 18 citations

    1

    h-index

1–5 of 53

Venues

  1. ILAR Journal

    1 publications · 14 citations

    1

    h-index

  2. Computers in Biology and Medicine

    1 publications · 18 citations

    1

    h-index

  3. Scientometrics

    1 publications · 20 citations

    1

    h-index

  4. Journal of Ecology

    1 publications · 149 citations

    1

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 1 publications · 15 citations

    1

    h-index

1–5