Use of optimized Fuzzy C-Means clustering and supervised classifiers for automobile insurance fraud detection

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...

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Bibliographic Details
Main Authors: Sharmila Subudhi, Suvasini Panigrahi
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Fraud detection
Insurance claims
Genetic Algorithm
Fuzzy C-Means clustering
Supervised classifiers
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157817301672

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http://www.sciencedirect.com/science/article/pii/S1319157817301672

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