Rule-based Classification
Rule-Based Classification is a classification method that assigns land cover categories to input data based on a predefined set of deterministic rules derived from domain knowledge, spectral thresholds, or logical conditions, distinguishing it from statistical or machine learning approaches by its reliance on explicit, human-defined criteria.
1K
Publications
57.9K
Citations
2.5K
Authors
1K
Institutions
Publications per year
2017–2026
212
1K
Applied Discriminant Analysis.
David J. Hand, Carl J. Huberty · Biometrics · 1995 · 992 citations
CPAR: Classification based on Predictive Association Rules
Xiaoxin Yin, Jiawei Han · 2003 · 820 citations · Full text
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Universidad de Granada
Granada, Spain
23 h-index
66 publications
7.7K citations
Osaka Prefecture University
Sakai, Japan
23 h-index
103 publications
8.7K citations

Universidad de Jaén
Jaén, Spain
18 h-index
25 publications
3.9K citations

Universidad Pública de Navarra (UPNA)
Pamplona, Spain
17 h-index
74 publications
7K citations
Universidade Federal do Rio Grande
Rio Grande, Brazil
11 h-index
20 publications
1.6K citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
10 h-index
35 publications
1.3K citations
Tsinghua University
Beijing, China
10 h-index
37 publications
2.7K citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
24 publications
1.2K citations
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TFS · 33 publications · 4.6K citations
28
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21 publications · 1.6K citations
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20 publications · 836 citations
16
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17 publications · 815 citations
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18 publications · 767 citations
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