With the increasingly prominent problem of fraud on refueling card,the traditional detection system has been unable to meet the needs of abnor-mal card identification and screening,bringing great challenges to the company management and customer capital security.The purpose of this study is to de-sign and implement an efficient and accurate analysis model for fraud on refueling cards,so as to improve the analysis ability of information system for abnor-mal cards.Through in-depth research on the be-havior characteristics and modes of fraud on refueling card,SQL query statements are written based on the typical fraud behavior boundary,and the model can accurately identify and screen abnormal cards by combining the typical card behavior characteristics conditions.Through comprehensive analysis and e-valuation,the model has high accuracy and efficien-cy in abnormal card identification and screening.The model can successfully identify the potential ab-normal behavior for the specific time range,the ab-normal amount of money and the conditions involving the specific gas station staff,and provide an impor-tant basis for the subsequent manual review.
维普
万方数据