Decision Logic for Rough Set-based Interrelationship Mining

被引：0

作者：

Kudo, Yasuo ^{[1
]}

Murai, Tetsuya ^{[2
]}

机构：

[1] Muroran Inst Technol, Coll Informat & Syst, Mizumoto 27-1, Muroran, Hokkaido 0508585, Japan

[2] Hokkaido Univ, Grad Sch Informat Sci & Technol, Sapporo, Hokkaido 0600814, Japan

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC) | 2013年

关键词：

decision logic; interrelationship mining; low and high order decision rules; rough set;

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：

Rough set-based decision rule extraction is a useful tool for data mining, however, almost approaches of decision rule extraction are based on comparison between values of the same attribute. On the other hand, the authors have proposed a concept of interrelationship mining that enables us to extract characteristics based on comparison between values of different attributes. In this paper, we consider logical aspects of interrelationship mining by introducing decision logic for interrelationship mining.

引用

页码：172 / 177

页数：6

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