'Rough enough' - A system supporting the rough sets approach

被引：0
|
作者：
Bjorvand, AT
机构：
来源：
SIXTH SCANDINAVIAN CONFERENCE ON ARTIFICIAL INTELLIGENCE | 1997年 / 40卷
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The rough sets theory has proved useful for a wide variety of data mining tasks. A system, called 'Rough Enough', has been developed to support the basic operations of the theory. The system emphasizes modifiability and experimentalism. Genetic algorithms have been used for the NP-hard rough sets procedure of data reduction obtaining the set of reducts. The system has been successfully tested with real world data.
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页码：290 / 291
页数：2
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