This paper is published in Volume-6, Issue-3, 2020
Area
Computer Science Engineering
Author
Sheethal H. D., P. Sai Pranavi, Sharanya S. Kumar, Sonika Kariappa, Swathi B. H., Gururaj H. L.
Org/Univ
Vidyavardhaka College of Enginnering, Mysore, Karnataka, India
Pub. Date
05 June, 2020
Paper ID
V6I3-1419
Publisher
Keywords
Fraud, Fraud detection, Machine Learning, Insurance, Naive Bayes, KNN, Random Forest, Neural Network

Citationsacebook

IEEE
Sheethal H. D., P. Sai Pranavi, Sharanya S. Kumar, Sonika Kariappa, Swathi B. H., Gururaj H. L.. Comparative analysis on vehicle insurances fraud detection using machine learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sheethal H. D., P. Sai Pranavi, Sharanya S. Kumar, Sonika Kariappa, Swathi B. H., Gururaj H. L. (2020). Comparative analysis on vehicle insurances fraud detection using machine learning. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.

MLA
Sheethal H. D., P. Sai Pranavi, Sharanya S. Kumar, Sonika Kariappa, Swathi B. H., Gururaj H. L.. "Comparative analysis on vehicle insurances fraud detection using machine learning." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.

Abstract

Now-a-days frauds have become a serious threat to the society. Fraud is an illegal way of gaining more money. Frauds are posing problems to so many people. So, fraud detection becomes very important in this current world. Fraud detection can be implemented in various fields like banking, insurance, financial sectors and information security systems. And in the field of insurance, we have different types of insurances- health, vehicle and even life insurances. Frauds occur in each of these types of insurances. There are many approaches using which fraud can be detected. Machine learning, artificial intelligence, data mining and other methods are used to detect frauds. The well-known methods used in machine learning to detect frauds are Bayesian Network, Decision trees and back propagation techniques. Many algorithms are also used to detect frauds like Naïve Bayes, KNN, Random forest. In this paper, the different techniques used for vehicle insurance fraud detection are presented along with comparative analysis.
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