Concepedia

Fraud Scoring Models

Fraud Scoring Models is a quantitative risk assessment framework that assigns a numerical score to insurance claims based on predictive indicators of fraudulent behavior, distinguishing it from general fraud detection methods by its focus on graduated risk stratification through statistical or machine learning algorithms.

71

Publications

5.9K

Citations

205

Authors

103

Institutions

Publications per year

2017–2026

44

Parents

Publications

71

The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature

Eric W.T. Ngai, Yong Hu, Yung Hou Wong et al. · Decision Support Systems · 2010 · 1.3K citations

, , +16

Data mining for credit card fraud: A comparative study

Siddhartha Bhattacharyya, Sanjeev Jha, Kurian Tharakunnel et al. · Decision Support Systems · 2010 · 963 citations

, , +16

Advancing theory of fraud: the S.C.O.R.E. model

Georgios Vousinas · Journal of Financial Crime · 2019 · 375 citations

, , +14

Comparison and analysis of logistic regression, Naïve Bayes and KNN machine learning algorithms for credit card fraud detection

Fayaz Itoo, Meenakshi Meenakshi, Satwinder Singh · International Journal of Information Technology · 2020 · 223 citations

, , +17

Detecting credit card fraud by decision trees and support vector machines

Yusuf Şahin, Ekrem Duman · Dogus University Institutional Repository (Dogus University) · 2011 · 181 citations · Full text

, , +16

1–5 of 71

Authors

205

  1. AC
    Adriano C. M. Pereira

    Universidade Federal de Minas Gerais, Brazil

    3 publications · 194 citations

    3

    h-index

  2. LL
    Linda L. Golden

    The University of Texas at Austin, United States

    2 publications · 40 citations

    2

    h-index

  3. MN
    Marden Neubert

    Universidade Federal de Minas Gerais, Brazil

    2 publications · 71 citations

    2

    h-index

  4. RA
    Richard A. Derrig

    KU Leuven, Belgium

    2 publications · 166 citations

    2

    h-index

  5. AP
    Alair Pereira do Lago

    Universidade de São Paulo, Brazil

    2 publications · 71 citations

    2

    h-index

1–5 of 205

Institutions

103

  1. Cornell University

    Ithaca, United States

    2 h-index

    3 publications

    104 citations

  2. Hospital Universitário da Universidade de São Paulo

    São Paulo, Brazil

    2 h-index

    2 publications

    71 citations

  3. Maastricht University

    Maastricht, The Netherlands

    2 h-index

    2 publications

    83 citations

  4. The University of Texas at Austin

    Austin, United States

    2 h-index

    4 publications

    80 citations

  5. Universidade Federal de Minas Gerais

    Belo Horizonte, Brazil

    2 h-index

    4 publications

    406 citations

  6. Maastricht School of Management

    Maastricht, The Netherlands

    2 h-index

    2 publications

    83 citations

  7. Indiana University

    Bloomington, United States

    2 h-index

    3 publications

    151 citations

  8. Microsoft (United States)

    Redmond, United States

    1 h-index

    1 publications

    24 citations

1–8 of 103

Venues

  1. Expert Systems with Applications

    6 publications · 513 citations

    6

    h-index

  2. Decision Support Systems

    3 publications · 2.3K citations

    3

    h-index

  3. Journal of Financial Crime

    2 publications · 399 citations

    2

    h-index

  4. 2

    h-index

  5. Research in International Business and Finance

    2 publications · 163 citations

    2

    h-index

1–5