DocumentCode
1925298
Title
Exploitation of Multivalued Type Proximity for Symbolic Feature Selection
Author
Kiranagi, Bapu B. ; Guru, D.S. ; Ichino, Manabu
Author_Institution
Dept. of Studies in Comput. Sci., Mysore Univ.
fYear
2007
fDate
5-7 March 2007
Firstpage
320
Lastpage
324
Abstract
In this paper, a simple and efficient feature selection scheme for symbolic data is proposed. The proposed scheme exploits the symbolic multivalued proximity measures for feature selection. The effectiveness of the proposed scheme has been demonstrated through experiments on standard symbolic data sets
Keywords
feature extraction; pattern clustering; symbol manipulation; symbolic data feature selection scheme; symbolic multivalued proximity measure; Art; Classification algorithms; Computer science; Data mining; Degradation; Feature extraction; Noise reduction; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing: Theory and Applications, 2007. ICCTA '07. International Conference on
Conference_Location
Kolkata
Print_ISBN
0-7695-2770-1
Type
conf
DOI
10.1109/ICCTA.2007.58
Filename
4127389
Link To Document