Government Data Mining
Government Data Mining is a methodological framework within artificial intelligence in government that systematically extracts, analyzes, and interprets large-scale public sector datasets to identify patterns, trends, and relationships for policy-making, regulatory compliance, and administrative decision-making.
75
Publications
3K
Citations
202
Authors
109
Institutions
Publications per year
2017–2026
39
75
1–5 of 75
202
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 202
109
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
469 citations
University of Technology Sydney
Sydney, Australia
2 h-index
2 publications
46 citations

Qatar University
Doha, Qatar
2 h-index
3 publications
159 citations
Indiana University
Bloomington, United States
2 h-index
2 publications
39 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
34 citations
University of Chicago
Chicago, United States
2 h-index
3 publications
38 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
2 publications
80 citations
University of Haifa
Haifa, Israel
2 h-index
2 publications
50 citations
1–8 of 109
6 publications · 490 citations
6
h-index
Repository · 5 publications · 94 citations
6
h-index
Repository · 2 publications · 50 citations
2
h-index
Conference · 2 publications · 29 citations
2
h-index
1 publications · 14 citations
1
h-index
1–5