Fraud Risk Classification
Fraud Risk Classification is a systematic method within the domain of risk assessment that specifically identifies and categorizes potential fraudulent activities by analyzing behavioral, transactional, or contextual indicators to differentiate levels of fraud susceptibility in organizational or financial systems.
123
Publications
11.7K
Citations
331
Authors
195
Institutions
Publications per year
2017–2026
55
Parents
123
Data mining for credit card fraud: A comparative study
Siddhartha Bhattacharyya, Sanjeev Jha, Kurian Tharakunnel et al. · Decision Support Systems · 2010 · 963 citations
Business, Computer Science, Finance +16
Sequence classification for credit-card fraud detection
Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler et al. · Expert Systems with Applications · 2018 · 483 citations
Computing, Bioinformatics, Finance +14
1–5 of 123
331
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 331
195

Utah State University
Logan, United States
3 h-index
3 publications
176 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
1.9K citations

Universiti Teknologi MARA
Shah Alam, Malaysia
2 h-index
2 publications
84 citations

Swansea University
Swansea, United Kingdom
2 h-index
4 publications
228 citations

University of New Hampshire
Durham, United States
2 h-index
3 publications
1.3K citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
248 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
3 publications
2.6K citations
Shandong University of Science and Technology
Qingdao, China
2 h-index
6 publications
669 citations
1–8 of 195
10 publications · 1.4K citations
10
h-index
7 publications · 3.3K citations
7
h-index
MAJ · 3 publications · 344 citations
3
h-index
Repository · 3 publications · 142 citations
3
h-index
3 publications · 409 citations
3
h-index
1–5