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Claims Analysis and Fraud Detection for Claims Made Using Online Claim Forms

Janjanin, Aleksandar Sasa (2019) Claims Analysis and Fraud Detection for Claims Made Using Online Claim Forms. Bachelor's Thesis, Computing Science.


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With the increase in capabilities of automatising business procedures with the application of computing, the possibilities for new projects opened in the corresponding fields. Highly suitable for this type of automatisation are the companies which deal with problems based on the input of users. Naturally, one big group of these companies are insurances. The enormous volume of claims being submitted is burdensome and time consuming, so this thesis tried to solve these issues, and make that data efficiently scalable. In order to give the answer to the question whether the process of assessing the insurance claims and checking whether they are fraudulent be safely automated, and if so to which extent, various disciplines of Computing Science were examined. Namely, these included data science, data processing, machine learning, and web development. The data in question was obtained through a company, and all of it was submitted by real users. Due to the scope of the project, and the available resources, the outcome defined the way to approach and solve the issue of the syntactic analysis of claims, and whether they were suspicious, or they seemed consistent. However, other possible solutions were discussed as well.

Item Type: Thesis (Bachelor's Thesis)
Supervisor nameSupervisor E mail
Supervisor (outside RUG):
Supervisor outside RUG nameSupervisor outside RUG E mail
Degree programme: Computing Science
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 05 Jul 2019
Last Modified: 11 Jul 2019 12:39

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