A Hybrid Feature Selection Algorithm:Combination of Symmetrical Uncertainty and Genetic Algorithms

摘要：

A hybrid feature selection method called SU-GA-W is proposed to make full use of advantages of filter and wrapper methods. This method falls into two phases. The filter phase removes features with lower SU and guides the initialization of GA population;the wrapper phase searches the final feature subset. The effectiveness of this algorithm is demonstrated on various data sets.

关键词： Feature Selection Filter Wrapper Symmetrical Uncertainty Genetic algorithms

作者: Bai-Ning Jiang Xiang-Qian Ding Lin-Tao Ma Ying He Tao Wang Wei-Wei Xie

作者单位: Department of Electronic Engineering, Ocean University of China, Qingdao 266071, China Center of Information Engineering, Ocean University of China, Qingdao 266071, China Department of Computer Science, Ocean University of China, Qingdao 266071, China

会议类型: 国际会议

会议名称: The Second International Symposium(OSB08)(第二届国际优化及系统生物学学术会议)

会议地点: 云南丽江

会议语种:英文

页码: 152-157

在线出版日期: 2008-10-31（万方平台首次上网日期，不代表论文的发表时间）