FEATURE SELECTION USING AN EFFECTIVE DIMENSIONALITY REDUCTION TECHNIQUE?Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 5)
Publication Date: 2014-05-30
Authors : M.V.Siva Prasad; CH. Suresh Kumar; T. Maneesha;
Page : 480-485
Keywords : Feature subset selection; feature clustering; filters; wrappers;
processing applications with a large number of dimensions has been a challenge to the KDD (Knowledge Discovery and Data mining) community. An effective dimensionality reduction technique is an essential pre-processing method to remove noisy features. The proposed combined method for feature selection, where a filter based on correlation is applied on whole features set to find the relevant ones, and then, on these features a wrapper is applied in order to find the best features subset for a specified predictor.
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Last modified: 2014-05-21 21:20:39