A family of optimization based data mining methods

被引：0
作者：
Shi, Yong [1 ,3 ]
Liu, Rong [1 ,2 ]
Yan, Nian [3 ]
Chen, Zhenxing [3 ]
机构：
[1] Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100080, Peoples R China
[2] Grad Univ Acad Sciences, Sch Math Sci, Beijing 100049, Peoples R China
[3] Univ Nebraska, Coll Informat Sci & Tech, Omaha, NE USA
来源：
PROGRESS IN WWW RESEARCH AND DEVELOPMENT, PROCEEDINGS | 2008年 / 4976卷
基金：
中国国家自然科学基金;
关键词：
multi-criteria programming; data mining; classification; regression; fuzzy programming; credit scoring; network intrusion detection;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An extensive review for the family of multi-criteria programming data mining models is provided in this paper. These models are introduced in a systematic way according to the evolution of the multi-criteria programming. Successful applications of these methods to real world problems are also included in detail. This survey paper can serve as an introduction and reference repertory of multi-criteria programming methods helping researchers in data mining.
引用
收藏
页码：26 / +
页数：4
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