SYSTEM AND METHOD FOR PREVENTING ACCIDENTS IN E-COMMERCE

摘要

PURPOSE: A system and a method for preventing accidents in e-commerce are provided to generate an optimum accident forecasting model through the data mining due to a neural network and an accident forecasting modeling due to a statistical program, and forecast accurately accidents based on know-how in work-site. CONSTITUTION: An admission server(20) confirms card trade data to determine the admission when chain stores request card trade admission. An accident prevention server(40) generates an accident forecast model, forecasts whether the card trade data transmitted from the admission server(20) are accident trade data by using a neural network accident forecast model and the accident forecast model, and sends feedback of the forecasted results to the admission server. A monitoring part(60) searches the accident trade in real-time by automatically calling corresponding members and the chain stores when the accident trade is forecasted.