loading...
Analyzing Feature Significance from Various Systems for Mass Diagnosis
Sydney Australia November 28-December 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.46International Conference on Computati ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Ping Zhang, Bond University, Gold Coast, QLD 4229, Australia
Kuldeep Kumar, University of Queensland, Brisbane, QLD 4702, Australia
This paper compares a few classification models for mass classification and analyzes the feature significance for mass classification using various models. It involves a few algorithms for feature selection and also analyzes the individual feature significance. The comparison of classification models is based on the same datasets for mass diagnosis.
Citation:
Ping Zhang, Kuldeep Kumar, "Analyzing Feature Significance from Various Systems for Mass Diagnosis," cimca, pp.141, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.