Spatial Pattern Mining
Spatial Pattern Mining is a data mining methodology that identifies and extracts non-trivial, recurring, and meaningful spatial relationships or configurations from geographic datasets, distinguished by its focus on the topological, geometric, and positional characteristics of spatially referenced data.
325
Publications
18K
Citations
793
Authors
350
Institutions
Publications per year
2017–2026
115
Parents
325
STING: A Statistical Information Grid Approach to Spatial Data Mining
Wei Wang, Jiong Yang, Richard R. Muntz · 1997 · 1.2K citations
Martin Ester, Hans‐Peter Kriegel, Jörg Sander et al. · Knowledge Discovery and Data Mining · 1996 · 1.1K citations
DBSCAN: Past, present and future
Saif Ur Rehman, Simon Fong, S. Sarasvady · 2014 · 591 citations
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350
Yunnan University
Kunming, China
19 h-index
79 publications
2.7K citations

University of Minnesota
Minneapolis, United States
16 h-index
46 publications
4.5K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
49 publications
1.7K citations
Wuhan University
Wuhan, China
10 h-index
22 publications
780 citations

Zhejiang University
Hangzhou, China
8 h-index
18 publications
831 citations

Central South University
Changsha, China
7 h-index
25 publications
960 citations
China University of Geosciences
Wuhan, China
7 h-index
15 publications
786 citations

University of North Texas
Denton, United States
6 h-index
8 publications
1.2K citations
1–8 of 350
TKDE · 13 publications · 2.9K citations
13
h-index
12 publications · 519 citations
12
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11 publications · 384 citations
11
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11 publications · 541 citations
10
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IJGI · 5 publications · 196 citations
5
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