Concept Mining
Concept Mining is a scholarly contribution in the field of knowledge discovery that systematically identifies, extracts, and formalizes conceptual structures from textual or data sources to construct higher-level abstractions such as methods, models, frameworks, or theories within a domain.
670
Publications
43.3K
Citations
1.6K
Authors
660
Institutions
Publications per year
2017–2026
115
Parents
670
Knowledge Acquisition Via Incremental Conceptual Clustering
Douglas Fisher · Machine Learning · 1987 · 1.8K citations · Full text
Dana Angluin · Machine Learning · 1988 · 1.6K citations · Full text
Knowledge acquisition via incremental conceptual clustering
Douglas Fisher · Machine Learning · 1987 · 1.1K citations · Full text
1–5 of 670
1.6K
National Research University Higher School of Economics, Russia
13 publications · 1.2K citations
12
h-index
Laboratoire Lorrain de Recherche en Informatique et ses Applications, France
9 publications · 538 citations
9
h-index
7
h-index
7
h-index
6
h-index
1–5 of 1.6K
660

National Research University Higher School of Economics
Moscow, Russia
12 h-index
25 publications
1.3K citations
Nanyang Technological University
Singapore, Singapore
11 h-index
17 publications
597 citations
University of Illinois Urbana-Champaign
Urbana, United States
11 h-index
24 publications
1K citations
Simon Fraser University
Burnaby, Canada
9 h-index
19 publications
700 citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
18 publications
912 citations
National University of Singapore
Singapore, Singapore
8 h-index
18 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
16 publications
733 citations

University of Regina
Regina, Canada
8 h-index
18 publications
1.3K citations
1–8 of 660
16 publications · 830 citations
14
h-index
10 publications · 636 citations
10
h-index
9 publications · 313 citations
9
h-index
TKDE · 8 publications · 876 citations
8
h-index
6 publications · 1K citations
6
h-index
1–5