Analyzing feature significance from various systems for mass diagnosis

Ping Zhang*, Kuldeep Kumar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

4 Citations (Scopus)

Abstract

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 dataseis for mass diagnosis.

Original languageEnglish
Title of host publicationCIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ...
DOIs
Publication statusPublished - 2007
EventCIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce - Sydney, NSW, Australia
Duration: 28 Nov 20061 Dec 2006

Conference

ConferenceCIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce
CountryAustralia
CitySydney, NSW
Period28/11/061/12/06

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Zhang, P., & Kumar, K. (2007). Analyzing feature significance from various systems for mass diagnosis. In CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ... [4052770] https://doi.org/10.1109/CIMCA.2006.46