Analyzing the Bank Scam's Financial Fraud and its Technological Repercussions using Data Mining

As the prevalence of new forms of financial transaction exists, such as instalment cards, has grown, so too has the sophistication and pervasiveness of fraud. After that, I'll discuss measures taken to detect and prevent fraud. As a result of their ability to construct models that understand and recognize the possibility of scam based on previous incidences of scam, data mining techniques are able to differentiate fraud. One of the financial frauds, the fiscal summary deception, has expanded rapidly around the globe. Corporate governance, financial reporting, and review capabilities have all taken a hit as a result of high-profile firm failures. Worldwide, companies are increasingly concerned about the growing threat of fraud using financial summaries. Because data mining approaches are well-suited to finding the grounds for dishonest financial declaration, Recognizing Fiscal Statement Scam stands apart as one of the key application areas of Facts Mining.