Data Model Customization

Data Model Customization is the modification of the structural schema of an enterprise system’s data model to align with specific organizational requirements, distinguishing itself from other customization types by focusing on the definition, relationships, and constraints of data entities rather than business processes or user interfaces.

13

Publications

1.4K

Citations

62

Authors

39

Institutions

Publications per year

2017–2026

6

Authors

62

  1. VW
    Vincent W. Zheng

    Advanced Digital Sciences Center, Singapore

    2 publications · 185 citations

    2

    h-index

  2. KC
    Kevin Chen–Chuan Chang

    University of Illinois Urbana-Champaign, United States

    2 publications · 185 citations

    2

    h-index

  3. KH
    Katie House

    University of Massachusetts Amherst, United States

    1 publications · 13 citations

    1

    h-index

  4. EK
    Ece Kamar

    Microsoft (United States), United States

    1 publications · 1.1K citations

    1

    h-index

  5. NN
    Nachiappan Nagappan

    Microsoft (United States), United States

    1 publications · 1.1K citations

    1

    h-index

1–5 of 62

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 27 citations

    2

    h-index

  2. Scientific Data

    1 publications · 13 citations

    1

    h-index

  3. 1

    h-index

  4. Digital Threats Research and Practice

    DTRAP · 1 publications · 17 citations

    1

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 67 citations

    1

    h-index

1–5