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计算机工程 ›› 2009, Vol. 35 ›› Issue (17): 86-88. doi: 10.3969/j.issn.1000-3428.2009.17.029

• 软件技术与数据库 • 上一篇    下一篇

农村社会保障体系数据流关联规则挖掘

蒋建军1,王以群2   

  1. (1. 南华大学计算机科学与技术学院,衡阳 421001;2. 南华大学信息管理研究中心,衡阳 421001)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-09-05 发布日期:2009-09-05

Data Stream Association Rules Mining in Rural Social Security System

JIANG Jian-jun1, WANG Yi-qun2   

  1. (1. College of Computer Science and Technology, University of South China, Hengyang 421001; 2. Center for Research in Information Management, University of South China, Hengyang 421001)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-09-05 Published:2009-09-05

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

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

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