Resampled cost-sensitive Operational Machine learning Ensemble (ROME) framework for car insurance fraud detection
Resampled cost-sensitive Operational Machine learning Ensemble (ROME) framework for car insurance fraud detection By Behnam Yousefimehr, Mehdi Ghatee, Ayin Ghazimoradi, Vista Farahifar has been accepted in “International Journal of Information and Communication Technology Research”. Abstract This study introduces a novel approach to enhance car insurance fraud detection through the ROME framework, which integrates resampling techniques…
