Regulatory Data Mining

Regulatory Data Mining is a systematic analytical process that identifies, extracts, and transforms relevant regulatory information from structured and unstructured data sources to support compliance, decision-making, and strategic planning in regulated industries.

19

Publications

1.4K

Citations

64

Authors

35

Institutions

Publications per year

2017–2026

6

Authors

64

  1. PD
    Pawel Durek

    German Rheumatism Research Centre, Germany

    1 publications · 10 citations

    1

    h-index

  2. PS
    Pascal Schulthess

    Humboldt-Universität zu Berlin, Germany

    1 publications · 10 citations

    1

    h-index

  3. KH
    Kalle Hjerppe

    University of Turku, Finland

    1 publications · 16 citations

    1

    h-index

  4. JD
    Ji-Ping Dai

    Beijing Normal University, China

    1 publications · 18 citations

    1

    h-index

  5. GT
    Gloria T. Lau

    Stanford University, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 64

Venues

  1. Bioinformatics

    3 publications · 59 citations

    3

    h-index

  2. Genome biology

    1 publications · 37 citations

    1

    h-index

  3. Energy Reports

    1 publications · 13 citations

    1

    h-index

  4. ALTEX

    1 publications · 73 citations

    1

    h-index

  5. Artificial Intelligence and Law

    AIL · 1 publications · 24 citations

    1

    h-index

1–5