CAJ | 학술논문

针对食品生产加工的安全问题，建立了基于关联规则挖掘的食品安全信息预警模型，此模型从数据挖掘视角以食品生产加工的检测数据为处理对象，分析数据异常情况，采用改进的关联规则挖掘APTPPA算法，生成关联路径树、寻找频繁项集、最大频繁项和最大关联规则，进而抽取报警关联规则，挖掘导致食品安全问题的因素并进行诊断和预警，最后通过实验验证了预警挖掘模型的正确性和算法的有效性。
침대식품생산가공적안전문제，건립료기우관련규칙알굴적식품안전신식예경모형，차모형종수거알굴시각이식품생산가공적검측수거위처리대상，분석수거이상정황，채용개진적관련규칙알굴APTPPA산법，생성관련로경수、심조빈번항집、최대빈번항화최대관련규칙，진이추취보경관련규칙，알굴도치식품안전문제적인소병진행진단화예경，최후통과실험험증료예경알굴모형적정학성화산법적유효성。
This study builds the food security information pre-warning modal based on association rules mining against the security problems of food production and processing. The model takes the data of food production and processing as handling objects from the perspective of data mining. It analyzes the abnormal data and adopts the improved association rules mining algorithm of APTPPA, generates associated path tree, and finds frequent itemsets, maximal frequent itemsets and maximal association rules. Then it extracts alarm association rules to mine the factors that lead to food safety problems and to diagnose and pre-warning. Finally, experiments verify the correctness of the model and the effectiveness of the algorithm.