CAJ | 학술논문

　　传统的电子商务交易风险评估是根据经验判断各种因素的影响权重。这种方法无法将相关因子准确定量，造成风险评估不准确的问题。本文提出一种基于潜在因子挖掘的电子商务交易风险评估算法，对交易评估中引入潜在因子风险评估，并对其进行有效地分类，按照交易潜在风险因子的信息分类结果进行风险评估，使用优化挖掘技术对各个相关因子计算最优解，计算交易中的最大风险。实验证明，这种评估方法对规模较大的电子商务交易风险起到了较好的评估作用。
　　전통적전자상무교역풍험평고시근거경험판단각충인소적영향권중。저충방법무법장상관인자준학정량，조성풍험평고불준학적문제。본문제출일충기우잠재인자알굴적전자상무교역풍험평고산법，대교역평고중인입잠재인자풍험평고，병대기진행유효지분류，안조교역잠재풍험인자적신식분류결과진행풍험평고，사용우화알굴기술대각개상관인자계산최우해，계산교역중적최대풍험。실험증명，저충평고방법대규모교대적전자상무교역풍험기도료교호적평고작용。
The traditional e-commerce transaction risk assessment is based on experience judgement of the influence from various factors weight, this kind of method can't the related factor accurate quantitative, resulting in the risk assess-ment inaccurate problem. This paper puts forward a potential factor mining based on e-commerce transaction risk assess-ment algorithm, the transaction evaluation into potential factor risk assessment, and carries on the effective classification, according to the transaction potential risk factors of information classification results for risk assessment, the use of opti-mization of mining technology for each correlation factor calculation optimal solution, calculating the biggest trade risk. Experiments show that this evaluation method for large-scale e-commerce transaction risk played a better evaluation function. .