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An Improved Feature Selection using Maximized Signal to Noise Ratio Technique for TC
Las Vegas, Nevada April 10-April 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2006.30Third International Conference on Inf ...
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K. Lakshmi, Dr. Saswati Mukherjee, "An Improved Feature Selection using Maximized Signal to Noise Ratio Technique for TC," Information Technology: New Generations, Third International Conference on, pp. 541-546, Third International Conference on Information Technology: New Generations (ITNG'06), 2006.
 
 
BibTex
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@article{ 10.1109/ITNG.2006.30,
author = {K. Lakshmi and Dr. Saswati Mukherjee},
title = {An Improved Feature Selection using Maximized Signal to Noise Ratio Technique for TC},
journal ={Information Technology: New Generations, Third International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2497-4},
pages = {541-546},
doi = {http://doi.ieeecomputersociety.org/10.1109/ITNG.2006.30},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology: New Generations, Third International Conference on
TI - An Improved Feature Selection using Maximized Signal to Noise Ratio Technique for TC
SN - 0-7695-2497-4
SP541
EP546
A1 - K. Lakshmi,
A1 - Dr. Saswati Mukherjee,
PY - 2006
KW - null
VL - 0
JA - Information Technology: New Generations, Third International Conference on
ER -
 
K. Lakshmi, Anna University, India
Dr. Saswati Mukherjee, Anna University, India
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.
Citation:
K. Lakshmi, Dr. Saswati Mukherjee, "An Improved Feature Selection using Maximized Signal to Noise Ratio Technique for TC," itng, pp.541-546, Third International Conference on Information Technology: New Generations (ITNG'06), 2006
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