International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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DETECTING FUNERAL INSURANCE FRAUD

Author(s) Ms. TAPIWANASHE MAKANI, Ms. KUDZAI MODESTER GUZURA
Country Zimbabwe
Abstract This study investigates the application of data mining techniques specifically the J48 Pruned and Random Forest algorithms for detecting fraudulent funeral insurance claims at A Funeral Parlor in Zimbabwe. Using WEKA software and data from 2020–2024, J48 achieved 99% accuracy, revealing strong fraud indicators including short policy durations, cash payments, and young beneficiaries with irregular payment histories. Results demonstrate that decision trees are both accurate and interpretable, providing a foundation for scalable fraud detection systems in emerging markets like Zimbabwe
Keywords Decision Trees; Data Mining; Fraud Detection
Field Business Administration
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-15
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.60466
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