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
Parents
19
1–5 of 19
64
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 64
35
Virginia Commonwealth University
Richmond, United States
1 h-index
2 publications
74 citations

University of Manchester
Manchester, United Kingdom
1 h-index
1 publications
37 citations
KU Leuven
Leuven, Belgium
1 h-index
1 publications
37 citations
Changsha Normal University
Changsha, China
1 h-index
1 publications
13 citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
1 h-index
10 publications
100 citations
Institute for Systems Engineering and Computers
Lisbon, Portugal
1 h-index
3 publications
129 citations

Concordia University
Montreal, Canada
1 h-index
2 publications
28 citations
Rockefeller University
New York, United States
1 h-index
3 publications
2.2K citations
1–8 of 35
3 publications · 59 citations
3
h-index
1 publications · 37 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 73 citations
1
h-index
AIL · 1 publications · 24 citations
1
h-index
1–5