see the paper

Conference Paper Detecting insurance claims fraud using machine learning techniques

Best Luck

see also

Applying Machine Learning to Anomaly Detection in Car Insurance SalesJanuary 2020

DOI:10.1007/978-3-030-66665-1_17

Maged G. Bin-Saad Noted, I'll check on them.

Ok

Interesting topic. Best wishes!

It's really an interesting topic. Best wishes for you.

Hopefully the views/insights as per the following papers could help:

• Bolton, R. J. and Hand, D. J. (2002) Statistical fraud detection: A review, Statistical Science, 17, 3, pp. 235-255.
• Hanafy, M. and Ming, R. (2021) Using machine learning models to compare various resampling methods in predicting insurance fraud, Journal of Theoretical and Applied Information Technology, 99, 12, pp. 2819-2833.
• Patil, K. S. and Godbole, A. (2018) A survey on machine learning techniques for insurance fraud prediction, Helix, 8, 6, pp. 4358-4363.
• Raghavan, P. and El Gayar, N. (2019) Fraud detection using machine learning and deep learning, in Maheshwari, P. and Mishra, V.P. (eds.) 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE 2019) (11-12 Dec 2019). Amity University Dubai, UAE: IEEE, pp. 334-339.
• Viaene, S., Ayuso, M., Guillen, M., Van Gheel, D. and Dedene, G. (2007) Strategies for detecting fraudulent claims in the automobile insurance industry, European Journal of Operational Research, 176, 1, pp. 565-583.

Dear Sangayathri Parameswaran

There are few papers which you should refer in your Master thesis titled "Detecting Motor Insurance Fraud Claims Using Machine Learning",, are as follows:

1. Roy, R., & George, K. T. (2017, April). Detecting insurance claims fraud using machine learning techniques. In 2017 International Conference on Circuit, Power and Computing Technologies (ICCPCT) (pp. 1-6). IEEE.

2. Wang, Y., & Xu, W. (2018). Leveraging deep learning with LDA-based text analytics to detect automobile insurance fraud. Decision Support Systems, 105, 87-95.

3. Palacio, S. M. (2019). Abnormal pattern prediction: Detecting fraudulent insurance property claims with semi-supervised machine-learning. Data Science Journal, 18(1).

4. Gomes, C., Jin, Z., & Yang, H. (2021). Insurance fraud detection with unsupervised deep learning. Journal of Risk and Insurance, 88(3), 591-624.

5. Lee, Y. (2021). A Study on the Blockchain-Based Insurance Fraud Prediction Model Using Machine Learning. Journal of Convergence for Information Technology, 11(6), 270-281.

6. Dhieb, N., Ghazzai, H., Besbes, H., & Massoud, Y. (2020). A secure ai-driven architecture for automated insurance systems: Fraud detection and risk measurement. IEEE Access, 8, 58546-58558.

7. Liu, X., Yang, J. B., Xu, D. L., Derrick, K., Stubbs, C., & Stockdale, M. (2020, July). Automobile Insurance Fraud Detection using the Evidential Reasoning Approach and Data-Driven Inferential Modelling. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-7). IEEE.

8. KALWIHURA, J. S., & LOGESWARAN, R. (2020). AUTO-INSURANCE FRAUD DETECTION: A BEHAVIORAL FEATURE ENGINEERING APPROACH. Journal of Critical Reviews, 7(3), 125-129.

9. Rawat, S., Rawat, A., Kumar, D., & Sabitha, A. S. (2021). Application of machine learning and data visualization techniques for decision support in the insurance sector. International Journal of Information Management Data Insights, 1(2), 100012.

10. AYBOGA, M. H., & Ganji, F. (2021). DETECTING FRAUD IN INSURANCE COMPANIES AND SOLUTIONS TO FIGHT IT USING COVERAGE DATA IN THE COVID 19 PANDEMIC. PalArch's Journal of Archaeology of Egypt/Egyptology, 18(15), 392-407.

Hope it will help.

actually I cannot give you any suggestion because it is not my specialize

Thank you all for your time. Sadly my panel didn't encourage this topic as this is already well researched. And advised to go for better topic which has proper literature Gap.

interested