DocumentCode
460770
Title
A Novel Grey-Based Feature Ranking Method for Feature Subset Selection
Author
Huang, Chi-Chun ; Chang, Hsin-Yun ; Yang, Cheng-Hong
Author_Institution
Dept. of Inf. Manage. Nat., Kaohsiung Marine Univ.
Volume
1
fYear
2006
fDate
Nov. 2006
Firstpage
129
Lastpage
132
Abstract
In this paper, a novel grey-based feature ranking method for feature subset selection is proposed. Experiments performed on various application domains are reported to demonstrate the performance of the proposed approach. It can be easily seen that the proposed approach yields high performance and is helpful for pattern classification
Keywords
feature extraction; grey systems; pattern classification; feature subset selection; grey-based feature ranking; pattern classification; Application software; Computer industry; Computer science; Computer science education; Degradation; Educational technology; Information management; Marine technology; Pattern classification; Shipbuilding industry;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2006 International Conference on
Conference_Location
Guangzhou
Print_ISBN
1-4244-0605-6
Electronic_ISBN
1-4244-0605-6
Type
conf
DOI
10.1109/ICCIAS.2006.294105
Filename
4072058
Link To Document