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An Improved Feature Selection using Maximized Signal to Noise Ratio Technique for TC

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2 Author(s)
Lakshmi, K. ; Dept. of Comput. Sci. & Eng., Anna Univ., Chennai ; Mukherjee, S.

Aim of this work is to produce excellent accuracy with reduced feature set by a simple method. When the profile built using a feature selection method called MSNR (maximized signal to noise ratio) combined with modified fractional similarity method, it performs in a competitive manner. MSNR identifies the highly contributing features and increases the distance between the profiles. Experimental results show that when we select only top 3% features of each class using MSNR (maximized signal to noise ratio) and use these profiles in combination with modified fractional method, achieved 90% classification accuracy

Published in:

Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on

Date of Conference:

10-12 April 2006