• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2011, Vol. 33 ›› Issue (6): 150-153.

• 论文 • Previous Articles     Next Articles

A PSOBased Attribute Selection Method

ZHENG Liping,JIANG Hua,LI Junqing   

  1. (School of Computer Science,Liaocheng University,Liaocheng 252059,China)
  • Received:2010-08-29 Revised:2010-12-05 Online:2011-06-25 Published:2011-06-25

Abstract:

In order to reduce the instance influence, a PSObased choosing method is proposed in this paper. This method mainly uses the  PSO algorithm to solve the optimal entropy of instances and obtain the corresponding attribute threshold value. According to the threshold, the attribute priority is determined. Finally, the attribute is chosen by priority. In our experiment, we specify the concept attribute priority in ontolgoy and verify the algorithm performance. The experimental results show that this algorithm reduces the dependency on instances and improves the accuracy. In addition, the computation quantity is reduced.

Key words: PSO;attribute priority;information gain;ontology