Title :
Data mining based on fuzzy rough set theory and its application in the glass identification
Author :
Sun Ruying ; Han Rongcang
Author_Institution :
Coll. of Inf., Linyi Normal Univ., Linyi, China
Abstract :
To overcome the disadvantage of determining artificially the class number, fuzzy C means clustering is introduced to fuzzify the continual attribute, and the best minute class number is obtained by cluster validity analysis. The relationship of glass composition and its application is excavated using data mining method in this paper.
Keywords :
data mining; fuzzy set theory; pattern clustering; rough set theory; cluster validity analysis; data mining method; fuzzy C means clustering; fuzzy rough set theory; glass composition; glass identification; Automation; Data mining; Educational institutions; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Glass; Information analysis; Set theory; Sun; Data Mining; Fuzzy Clustering; Fuzzy Rough Set; Glass Identification;
Conference_Titel :
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location :
Zhuhai, Macau
Print_ISBN :
978-1-4244-3607-1
Electronic_ISBN :
978-1-4244-3608-8
DOI :
10.1109/ICINFA.2009.5204911
