Feature Selection Method Based on the Improved of Mutual Information and Genetic Algorithm

摘要：

The feature selection is a key method of text categorization technology, this paper proposed a text feature selection method based on the improved mutual information and genetic algorithm. Used the improved of mutual information algorithm to do the initial choose to removing redundancy and noise words at first, and then used the genetic algorithm to training the template which generate by a subset of words, get the optimal feature subset that on behalf of the issue space, to achieve dimensionality reduction and improved classification accuracy.

作者: QIU Ye LIU Peiyu YANG Yuzhen

作者单位: School of Information Science and Engineering, Shandong Normal University,Jinan 250014, China School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 836-839

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）