A new rough set approach to knowledge discovery in incomplete information systems

被引：10
|
作者：
Wu, WZ [1 ]
Mi, JS [1 ]
Zhang, WX [1 ]
机构：
[1] Xi An Jiao Tong Univ, Fac Sci, Inst Informat & Syst Sci, Xian 710049, Shaanxi, Peoples R China
来源：
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年
关键词：
rough sets; decision rules; incomplete information systems; knowledge acquisition;
D O I：
10.1109/ICMLC.2003.1259773
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The purpose of this paper is to deal with knowledge acquisition in incomplete decision tables. The concept of labeled block set in incomplete information systems is proposed. Two kinds of partitions, lower and upper approximations, are then formed for the mining of certain and possible rules in incomplete decision tables. The induction of optimal rules in such tables is also examined.
引用
收藏
页码：1713 / 1718
页数：6
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