Data Model Simplification

Data Model Simplification is a data abstraction technique that reduces the complexity of a data model by eliminating redundant or less significant components while preserving its essential structure and semantic integrity.

11

Publications

1.1K

Citations

28

Authors

19

Institutions

Publications per year

2017–2026

5

Authors

28

  1. BC
    Byoung Chul Ko

    Keimyung University, South Korea

    1 publications · 22 citations

    1

    h-index

  2. XB
    Xuhui Bu

    Henan Polytechnic University, China

    1 publications · 11 citations

    1

    h-index

  3. XH
    Xiangnan He

    University of Science and Technology of China, China

    1 publications · 132 citations

    1

    h-index

  4. MJ
    Mira Jeong

    Keimyung University, South Korea

    1 publications · 22 citations

    1

    h-index

  5. WF
    Weijie Fu

    Hefei University of Technology, China

    1 publications · 132 citations

    1

    h-index

1–5 of 28

Venues

  1. 1

    h-index

  2. SoftwareX

    1 publications · 12 citations

    1

    h-index

  3. Knowledge and Information Systems

    1 publications · 17 citations

    1

    h-index

  4. Transportation Research Part B Methodological

    1 publications · 14 citations

    1

    h-index

  5. Applied Intelligence

    1 publications · 22 citations

    1

    h-index

1–5