Abstract: Aiming at the existing implicit information of rural social security system in China, association rules mining of data stream has become an important research to the system. Owing to this, this paper presents several processes to produce association rules and the method of correspondence realization. It includes the replacement method in sampling of data stream and MFI-TCQ method in producing frequent itemsets. It introduces the producing of association rules tree and gives an example to explain.

Key words: data stream, frequent itemsets, association rules, rural social security system

摘要： 针对我国农村社会保障体系数据流存在的隐含信息，对该体系数据流关联规则挖掘已成为研究的热点。鉴于此，提出农村社会保障体系数据流产生关联规则的几个步骤及相应的实现方法，包括在数据流采样中的置换方法，以及在频繁集生成中的MFI-TCQ方法，介绍关联规则树的产生并举例进行说明。

关键词: 数据流, 频繁集, 关联规则, 农村社会保障体系

CLC Number: 

• TP311.13