Insurance fraud detection is a significant problem in the insurance industry, producing immeasurable losses …. Conventional insurance fraud detection models depend heavily on experts' knowledge, and accurately estimating fraud when the data …

for insurance fraud detection: A review -- Nonnegative second-order semiparametric analysis and experience rating in non … precaution, asymmetric information, insurance fraud, risk management, insurance pricing, new financial innovations, reinsurance …

supervised learning for insurance fraud detection has long been a research focus, unsupervised learning has rarely been studied … for insurance fraud detection. Accordingly, this study evaluates supervised and unsupervised learning using proprietary … learning, especially isolation forests, can successfully detect insurance fraud. Supervised learning also performs strongly …

regression, and artificial neural networks are successfully used to detect healthcare insurance fraud. This study aims to develop …