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.
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;
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
DOI :
10.1109/ICCIAS.2006.294105