Third International Conference on Information Technology: New Generations (ITNG'06) An Improved Feature Selection using Maximized Signal to Noise Ratio Technique for TC Las Vegas, Nevada April 10-April 12 ISBN: 0-7695-2497-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2006.30
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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