• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (8): 168-173.

• 论文 • Previous Articles     Next Articles

Research on feature selection and its ensemble method          

CAO Yan,WANG Qian,ZHOU Chi   

  1. (1.School of Computer Science and Technology,Zhoukou Normal University,Zhoukou 466001;
    2.Xuchang Power Electrical Supply Company,Xuchang  461000,China)
  • Received:2012-06-01 Revised:2012-10-08 Online:2013-08-25 Published:2013-08-25

Abstract:

With the rapid development of computer and network technology, the emergences of large data sets make the amount of information people obtain increases at an unprecedented speed. How to obtain useful information quickly are becoming people’s concerns. To solve the problem, we study on feature selection and ensemble classifiers based on support vector machine which has good generalization ability. Using RGS algorithm that has higher classification results and the technique of ensemble classifiers, RGSE algorithm is proposed. Finally, experiments demonstrate the correctness of the algorithm.

Key words: feature selection;ensemble classifiers;support vector machine;genetic algorithm;ReliefF algorithm