DETECTING FRAUD IN INSURANCE COMPANIES AND SOLUTIONS TO FIGHT IT USING COVERAGE DATA IN THE COVID 19 PANDEMIC
Keywords:Fraud, insurance fraud, data mining, application of data mining in fraud detection, supplementary insurance; Classification
Under normal circumstances, insurance customers may not often think about their insurance services, but the Covid-19 pandemic caused widespread uncertainty among insurance customers. Insured people are now looking to find things like insurance coverage, freeing up money and taking risks. Meanwhile, insurance companies try to adapt their performance to the existing conditions and address the needs of their customers. Fraud is one of the challenges that insurance companies have been facing for a long time and it constitutes a significant part of the losses incurred by them. In recent years, forensic techniques have been instrumental in identifying and preventing fraud in the insurance industry. Due to the high direct or indirect costs of fraud, banks and financial and monetary institutions are increasingly seeking to expedite and expedite action in identifying the activities of fraudsters and fraudsters. The use of these methods can be useful in identifying fraudulent losses in the insurance industry. The growth of fraud patterns as well as fraud costs can constantly threaten any company, so a strong fraud detection management system should have different methods of detecting fraud and what It is important to have experienced experts and specialists in this field who should be directly supported by the supervisory bodies and the board of directors because they are the source of many violations from within the organizations.