Structured Data Mining
Structured Data Mining is a data analysis methodology that systematically extracts, transforms, and identifies patterns from standardized, hierarchically organized electronic health record data to support clinical decision-making and population health surveillance.
126
Publications
6.9K
Citations
415
Authors
219
Institutions
Publications per year
2017–2026
23
126
Sašo Džeroski · ACM SIGKDD Explorations Newsletter · 2003 · 265 citations
Mining sequential patterns with constraints in large databases
Jian Pei, Jiawei Han, Wei Wang · 2002 · 240 citations
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Georgia Institute of Technology
Atlanta, United States
4 h-index
8 publications
737 citations
IBM (United States)
Armonk, United States
4 h-index
9 publications
1K citations
University of Wisconsin–Madison
Madison, United States
3 h-index
10 publications
386 citations
Fudan University
Shanghai, China
3 h-index
4 publications
339 citations
Jožef Stefan Institute
Ljubljana, Slovenia
3 h-index
3 publications
393 citations

Emory University Hospital
Atlanta, United States
3 h-index
6 publications
635 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
4 publications
371 citations
University of Lisbon
Lisbon, Portugal
3 h-index
4 publications
88 citations
1–8 of 219
5 publications · 283 citations
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AIM · 5 publications · 601 citations
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Repository · 4 publications · 76 citations
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3 publications · 385 citations
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3 publications · 118 citations
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