Customer Risk Classification Models
Customer Risk Classification Models is a systematic framework within risk assessment methodology that distinguishes itself by categorizing customers according to their potential financial crime risk levels based on predefined criteria such as behavior, transaction patterns, and demographic factors.
16
Publications
668
Citations
40
Authors
30
Institutions
Publications per year
2017–2026
9
Variants
Customer Risk Rating Models
Parents
16
Using Neural Networks to Understand Service Risk in the Holiday Product
Vincent‐Wayne Mitchell, Fiona Davies, Luiz Moutinho et al. · Journal of Business Research · 1999 · 151 citations
Business, Marketing, Risk Management +14
Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers
Victor Chang, Sharuga Sivakulasingam, Hai Wang et al. · Risks · 2024 · 58 citations · Full text
Computing, Computer Science, Finance +17
Credit risk analysis using machine learning classifiers
Trilok Nath Pandey, Alok Kumar Jagadev, Suman Kumar Mohapatra et al. · 2017 · 51 citations
Computing, Computer Science, Finance +16
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40
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30

University of Tehran
Tehran, Iran
1 h-index
2 publications
104 citations

Lodz University of Technology
Lodz, Poland
1 h-index
2 publications
26 citations
Institute of Computer Science
Warsaw, Poland
1 h-index
1 publications
13 citations
Japan Advanced Institute of Science and Technology
Nomi Shi, Japan
1 h-index
1 publications
14 citations

University of Łódź
Lodz, Poland
1 h-index
2 publications
26 citations
Academy of Mathematics and Systems Science
Beijing, China
1 h-index
2 publications
28 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
3 publications
135 citations
University College London
London, United Kingdom
1 h-index
1 publications
58 citations
1–8 of 30
JBR · 1 publications · 151 citations
1
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1 publications · 58 citations
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JMR · 1 publications · 52 citations
1
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1 publications · 52 citations
1
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1 publications · 45 citations
1
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1–5