Dimensional Normalization

Dimensional Normalization is a methodological technique in dimensional modeling that systematically reduces redundancy and improves data integrity by organizing dimension tables into hierarchical, non-repeating structures while preserving their semantic richness and query performance characteristics.

44

Publications

4.6K

Citations

113

Authors

61

Institutions

Publications per year

2017–2026

8

Authors

113

  1. SM
    Svetlana Mansmann

    University of Konstanz, Germany

    2 publications · 67 citations

    2

    h-index

  2. JM
    José-Norberto Mazón

    University of Alicante, Spain

    2 publications · 138 citations

    2

    h-index

  3. JL
    Jens Lechtenbörger

    University of Münster, Germany

    2 publications · 138 citations

    2

    h-index

  4. MA
    Marcel Adam Just

    Carnegie Mellon University, United States

    2 publications · 83 citations

    2

    h-index

  5. JT
    Juan Trujillo

    University of Alicante, Spain

    2 publications · 138 citations

    2

    h-index

1–5 of 113

Venues

  1. 2

    h-index

  2. Frontiers in Research Metrics and Analytics

    RMA · 1 publications · 316 citations

    1

    h-index

  3. International Journal of Data Warehousing and Mining

    IJDWM · 1 publications · 18 citations

    1

    h-index

  4. Asian Conference on Machine Learning

    Conference · 1 publications · 11 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 32 citations

    1

    h-index

1–5