Cover Page    Full-Text Download    
Subscribe Now
Recommend the Paper
A Feature Selection Method for Imbalance  

Ilnaz Jamali  

Department of Electrical and Computer Engineering

Shiraz University

Shiraz, Iran

ilnazjamali@yahoo.com 

Sattar Hashemi

Department of Electrical and Computer Engineering

Shiraz University

Shiraz, Iran

s_hashemi@shirazu.ac.ir

 
 
Abstract .This paper introduces a game theoretic framework for feature selection in imbalance data sets. In this method which is called FSSH (Feature Selection based on Shapley value), first some coalitions will be constructed and the marginal importance of each feature in its coalition will be computed. Then, the weighted mean of each feature’s value considered as the Shapley value. Finally features will be ranked according to their Shapley value and high ranked features will be selected in the realm of feature selection. Experimental results and comparison with several existing feature selection methods show the advantages of presented approach across the data sets adopted in this study.
 
Keywords : feature selection, imbalance data sets, game theor
 URL: http://dx.doi.org/10.7321/jscse.v3.n3.89  
 
 

Subscribe Now

Email :    
Subscribe to receive free TOC's JSCSE by email
Subscribe

Recommend To Friend

Email :     People