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 … performance of each approach in terms of identifying new fraudulent claims. We derive several important findings. Unsupervised …

algorithms: (1) a supervised learning algorithm to predict winds, (2) an unsupervised learning algorithm to forecast areas of … proposes a methodology that uses an unsupervised learning-based clustering algorithm with the concept of Hausdorff distance to …

behave normally or are benign in the first phase and classify them using an unsupervised elliptic envelope. We validated our …

In this paper, we introduce an unsupervised machine learning method for production frontier estimation. This new …

potential benefits and limitations of adopting unsupervised machine learning clustering as an alternative method to … that the use of unsupervised clustering leads to a more granular and detailed stakeholder grouping that enables the design …