Analysing Feature Significance from Various Systems for Mass Diagnosis

Date of this Version


Document Type

Conference Paper

Publication Details

Zhang, Ping and Kumar, Kuldeep (2006) Analyzing Feature Significance from Various Systems for Mass Diagnosis is a conference paper presented at the International Conference on Computational Intelligence for Modelling, Control and Automation - CIMCA06 Jointly with International Conference on Intelligent Agents, Web Technologies and Internet Commerce - IAWTIC06 29 November to 1 December 2006 Sydney.
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2006 HERDC submission


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.

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This document has been peer reviewed.