Fraud Detection Performance Evaluation is a methodological framework within fraud detection research that systematically assesses the efficacy, accuracy, and reliability of fraud detection models or systems in the context of underwriting by employing quantitative metrics and benchmarking protocols distinct from general model validation approaches.
116
Publications
7.8K
Citations
328
Authors
168
Institutions
Publications per year
2017–2026
73
Publications
116
Cost-based modeling for fraud and intrusion detection: results from the JAM project
Salvatore J. Stolfo, Wei Fan, Wenke Lee et al. · 2002 · 611 citations · Full text
Credit card fraud detection with a neural-network
1–5 of 116
Authors
328
- TM
10
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- RA
5
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- JH
4
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- AC
3
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- DJ
3
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1–5 of 328
Institutions
168
Florida Atlantic University
Boca Raton, United States
10 h-index
27 publications
2.6K citations
Imperial College London
London, United Kingdom
4 h-index
11 publications
663 citations
Tongji University
Shanghai, China
3 h-index
9 publications
988 citations
London Institute for Mathematical Sciences
London, United Kingdom
2 h-index
8 publications
548 citations
Brigham Young University
Provo, United States
2 h-index
8 publications
1.3K citations
Universitat Politècnica de València
Valencia, Spain
2 h-index
7 publications
167 citations
National University of Malaysia
Bangi, Malaysia
2 h-index
7 publications
337 citations
Charles Sturt University
Bathurst, Australia
2 h-index
3 publications
60 citations
1–8 of 168
Venues
- Expert Systems with Applications
4 publications · 571 citations
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- Knowledge-Based Systems
2 publications · 243 citations
2
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- Journal of Information Security and Applications
JISA · 2 publications · 74 citations
2
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- Security and Communication Networks
2 publications · 149 citations
2
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- Computers & Security
2 publications · 59 citations
2
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