Research on Credit Card Fraud Detection Model Based on Similar Coefficient Sum

This paper analyses the causes that give rise to the risk of credit fraud and presents an anomaly detection method by using an outlier detection model based on similar coefficient sum. It finds fraud record by computing similar coefficient sum of every two objects and an example is given to validate the model. The result show the feasibility and validity of the method. The research work furnishes a basis for further study of applying outlier to the analysis and prediction of deception risks.