Refund Fraud Detection

Refund Fraud Detection is a systematic methodological framework within tax compliance systems designed to identify and prevent fraudulent claims by analyzing anomalies and patterns indicative of non-entitled claims in excise tax refund procedures.

2

Publications

37

Citations

4

Authors

4

Institutions

Publications per year

2017–2026

1

Authors

4

  1. DS
    Debra Sanders

    Washington State University, United States

    1 publications · 13 citations

    1

    h-index

  2. MA
    Miklos A. Vasarhelyi

    Rutgers, The State University of New Jersey, United States

    1 publications · 24 citations

    1

    h-index

  3. HI
    Hussein Issa

    Rutgers, The State University of New Jersey, United States

    1 publications · 24 citations

    1

    h-index

  4. KH
    Kimberly Houser

    Rowan University, United States

    1 publications · 13 citations

    1

    h-index

  5. AM
    Amir Masoud Rahmani

    Islamic Azad University, Science and Research Branch, Iran

    1 publications · 12 citations

    0

    h-index

1–5 of 4

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 37 citations

    2

    h-index

  2. Journal of Signal Processing Systems

    1 publications · 12 citations

  3. Journal of Business Analytics

    1 publications · 11 citations

1–3