计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (21): 147-149.DOI: 10.3778/j.issn.1002-8331.2009.21.043

• 理论科学研究 • 上一篇    下一篇

基于抗体浓度和亲合度的关联规则挖掘算法

詹 芹,廖慧芬   

  1. 九江学院 信息科学与技术学院,江西 九江 332005

  • 收稿日期:2009-05-04 修回日期:2009-06-22 出版日期:2009-07-21 发布日期:2009-07-21
  • 通讯作者: 詹 芹

Association rule algorithm based on concentration and affinity of antibodies

ZHAN Qin,LIAO Hui-fen   

  1. School of Information Science and Technology,Jiujiang University,Jiujiang,Jiangxi 332005,China
  • Received:2009-05-04 Revised:2009-06-22 Online:2009-07-21 Published:2009-07-21
  • Contact: ZHAN Qin

摘要: 关联规则是数据挖掘的重要模式之一,有着极其重要的应用价值。基于抗体浓度和亲合度的选择策略,提出了一种克隆模拟退火遗传挖掘算法。该挖掘算法先通过克隆操作来产生一组新的抗体,然后再独立地对所产生的抗体进行变异和克隆选择操作,从而求得问题的最优解。实验结果表明该算法能高效地解决关联规则挖掘问题。

Abstract: Association rule is one of the important models of data mining,and has the most significant application value.This paper combining with the concentration and affinity of antibodies,brings forward a method of mining association rules based on clonal simulated annealing genetic algorithm.It first generates a new group of individuals through clonal operation,and makes mutation/selection independently with all the generated individuals respectively.Experiment results demonstrate that this method can solve association rule mining effectively.