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Experiments on Selection of Pre-processing Method for Performance Augmentation of Classifier
2015pp. 451–456
Abstract
Business and Research organizations are continuously generating huge amount of high dimensional data. They need to analyze this data in real-time with minimum cost. Data pre-processing techniques in combination with dimensionality reduction techniques are widely used by researchers to improve the quality of data and reduce the time, cost required to analyze the data. But standard methods are not available to select the combination of data pre-processing and feature selection techniques. This paper presents a novel method for selecting combination of pre-processing and feature selection method. Experimental results are provided to support the efficiency of proposed mechanism.
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