Use of optimized Fuzzy C-Means clustering and supervised classifiers for automobile insurance fraud detection
This paper presents a novel hybrid approach for detecting frauds in automobile insurance claims by applying Genetic Algorithm (GA) based Fuzzy C-Means (FCM) clustering and various supervised classifier models. Initially, a test set is extracted from the original insurance dataset. The remaining trai...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-06-01
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Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157817301672 |