DocumentCode
2968860
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
fYear
2009
fDate
22-24 June 2009
Firstpage
154
Lastpage
157
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICINFA.2009.5204911
Filename
5204911
Link To Document