Rule-based Detection Systems
Rule-Based Detection Systems is a detection methodology that belongs to the class of rule-based systems and is distinguished by its reliance on predefined logical rules derived from domain knowledge to identify suspicious patterns indicative of fraudulent activities in Medicare claims or money laundering transactions.
56
Publications
3.1K
Citations
211
Authors
103
Institutions
Publications per year
2017–2026
20
Variants
Rule-based Detection System
56
Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture
Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa et al. · Sensors · 2020 · 205 citations · Full text
Rule-based face detection in frontal views
Constantine Kotropoulos, Ioannis Pitas · 2002 · 189 citations
Satoru Masubuchi, Eisuke Watanabe, Yuta Seo et al. · npj 2D Materials and Applications · 2020 · 162 citations · Full text
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Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
55 citations
Universidade Federal do Espírito Santo
Vitória, Brazil
2 h-index
7 publications
182 citations
Seattle Indian Health Board
Seattle, United States
2 h-index
2 publications
267 citations
University of Washington
Seattle, United States
2 h-index
2 publications
267 citations

Universidad de Granada
Granada, Spain
2 h-index
5 publications
84 citations

Indian Institute of Technology Bombay
Mumbai, India
2 h-index
4 publications
534 citations
Kyushu University
Fukuoka, Japan
1 h-index
3 publications
615 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
18 citations
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3 publications · 224 citations
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2 publications · 128 citations
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2 publications · 87 citations
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TFS · 1 publications · 12 citations
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1 publications · 38 citations
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