Title :
Some properties of interrelated attributes in relative reducts for interrelationship mining
Author :
Kudo, Yasuo ; Murai, Tetsuya
Author_Institution :
Coll. of Inf. & Syst., Muraran Inst. of Technol., Muraran, Japan
Abstract :
Interrelationship mining, proposed by the authors, enables us to extract characteristics based on comparison between values of different attributes. One of the main ideas of the interrelationship mining is to explicitly represent characteristics based on comparison between values of different attributes by new attributes called interrelated attributes. In this paper, we discuss properties of interrelated attributes that appear in relative reducts.
Keywords :
data mining; data reduction; rough set theory; interrelated attributes; interrelationship mining; relative reducts; rough set theory; Data analysis; Data mining; Educational institutions; Electronic mail; Rough sets;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
DOI :
10.1109/SCIS-ISIS.2014.7044897
