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Fraud detection is one of the top priorities for major banks and leading financial institutions, which can be addressed using machine learning. In banking, fraud may include falsify checks or using stolen credit cards. Other forms of fraud may involve emphasize losses or causing an accident with the sole intent for the pay-out. With an unlimited and increasing number of ways someone can commit fraud, detection can be difficult to accomplish . Activities such as downsizing, reorganization, moving to new information systems or confront a cybersecurity breach could weaken an organization's ability to detect fraud. This means facilities such as real-time monitoring for frauds is recommended. Organizations should look for fraud in financial transactions, location, devices used, initiated sessions and authentication systems. How do you detect fraud? The basic approach to  fraud detection with an analytic model is to identify possible predictors of fraud associated with know