A Method of Discretization of Continuous Attributes In Knowledge Discovery

被引：0
|
作者：
Tian, Xuequan [1 ]
机构：
[1] Chongqing Univ Sci & Technol, Chongqing 401331, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS (CSA) | 2013年
关键词：
Discretization; Knowledge Discovery; Continuous Attributes; Fuzzy Clustering;
D O I：
10.1109/CSA.2013.167
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Discretization of continuous attributes is an important preprocessing step in knowledge discovery. Most consecutive property boundaries are blurred. It is suitable for soft classification. This paper introduced the fuzzy set of continuous attribute values are transformed into fuzzy attribute values. We presents the discretization method based on fuzzy similarity clustering. The experiment shows the method of discretization is more effective and objective than others. It is a effective method in discretization of the continuous attribute.
引用
收藏
页码：695 / 698
页数：4
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