聊城大学学报（自然科学版）2016，Vol.29Issue(3)：105-110,6.
多代价下的代价敏感属性选择算法比较
Comparison of Cost-sensitive Attribute Selection Algorithms under a Variety of Cost
摘要
Abstract
Cost‐sensitive attribute selection has attracted much attention in data preprocessing for machine learning and data mining .Cost‐sensitive attribute selection problem is an extension of tradition‐al attribute selection problem ,and has become a hot research object of many scholars .First ,this paper provides mathematical model of cost‐sensitive attribute selection problem under a variety of cost .Sec‐ond ,this paper introduces four representative cost‐sensitive attribute selection algorithms .Finally ,this paper analyzes and compares the effectiveness and the efficiency of these cost‐sensitive attribute selection algorithms on four UCI datasets .关键词
粗糙集/粒计算/代价敏感/属性选择Key words
rough sets/granular computing/cost-sensitive/attribute selection分类
信息技术与安全科学引用本文复制引用
黄伟婷..多代价下的代价敏感属性选择算法比较[J].聊城大学学报（自然科学版）,2016,29(3):105-110,6.基金项目
漳州市自然科学基金项目（ZZ2016J35）资助 （）
