Dynamic Fast Database Mining Algorithm Based on Association Rules

被引:0
作者
Wang Zongjiang [1 ]
机构
[1] Weifang Univ, Sch Comp & Commun Engn, Weifang, Peoples R China
来源
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷
关键词
Data mining; Association rules; Online mining; Progressive mining;
D O I
10.4028/www.scientific.net/AMR.433-440.6049
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In order to resolve the problems of real-time data mining, a dynamic fast mining algorithm is proposed in this paper based on association rules. The algorithm do not need to scan the original database again, and overcome the weaknesses of Apriori Algorithm, which is the most representative mining approach using association rules, such as time-consuming, no online digging, and so on. The algorithm meets the demand of online and progressive mining. With the properties of multilayer processing simultaneously and updating promptly, as well as the definition of sensitivity parameter, the algorithm can be used to mine useful real-time information for the decision makers.
引用
收藏
页码:6049 / 6053
页数:5
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