计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 171-173.

• 软件工程 • 上一篇    下一篇

自动生成数据挖掘算法的研究与应用

郑盼丽,戴牡红,谭一云,叶柏龙   

  1. (湖南大学软件学院 长沙410082)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Research and Application of Automating the Design of Data Mining Algorithms

  • Online:2018-11-16 Published:2018-11-16

摘要: 主要研究自动生成数据挖掘算法的解决方案。采用遗传算法对数据挖掘中的关联规则进行自动挖掘,提出一种基于遗传算法的关联规则自动提取算法,并结合电视购物项目,给出了该算法的实例验证。最后,通过与传统的Apriori算法比较,验证了该算法的高效性。

关键词: 数据挖掘,遗传算法,关联规则,Apriori算法

Abstract: This paper brings a solution of the study of automating the design of data mining algorithms. The genetic algorithm is adopted to mine automatically the association rule in data mining, and it brings an automatic mining method of association rules based on genetic algorithm, and associated with the TV shopping project, this paper gives test shows of the algorithm. At last, the algorithm is proved effective via comparing with the traditional Apriori algorithm.

Key words: Data mining, Genetic algorithm, Association rule, Apriori algorithm

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