首页 >> 收录期刊 >> 软件学报 >> 正文
杂志中文名:软件学报
杂志英文名:Journal of Software
主管单位:中国科学院
主办单位:中国科学院软件研究所、中国计算机学会
地址:北京海淀区中关村南4街4号中科院软件所(8718信箱)
邮编:100080
电话:010-62562563 ;
Email:jos@iscas.ac.cn
ISSN:1000-9825
主编:李明树













Attribute Selection for Numerical Databases that Contain Correlations
Authors:Taufik Djatna and Yasuhiko Morimoto
Abstract:There are many correlated attributes in a database. Conventional attribute selection methods are not able to handle such correlations and tend to eliminate important rules that exist in correlated attributes. In this paper, we propose an attribute selection method that preserves important rules on correlated attributes. We rst compute a ranking of attributes by using conventional attribute selection methods. In addition, we compute two-dimensional rules for each pair of attributes and evaluate their importance for predicting a target attribute. Then, we evaluate the shapes of important two-dimensional rules to pick up hidden important attributes that are under-estimated by conventional attribute selection methods. After the shape evaluation, we re-calculate the ranking so that we can preserve the important correlations. Intensive experiments show that the proposed method can select important correlated attributes that are eliminated by conventional methods.
Keywords:Feature Selection  Correlated Attribute  Two Dimensional Rule  Region Shape
    浏览原始摘要     下载PDF全文