A Novel Risk Warning Approach to Food Enterprises Using Data Mining and Information Fusion Technologies

摘要

The food enterprise risk warning problem is an important issue both in the theoretical and practical aspects. In order to improve the risk warning level of food enterprises, a novel risk warning approach is studied using some emerging technologies, such as, data mining and information fusion. For this reason, a novel risk warning technology is proposed to food enterprises based on data mining and information fusion. Experimental results suggest that this technology is feasible, correct and valid. Experimental results and trend analysis has many practical significance for assisting government management and decision of import and export food agricultural product safety.