Feature Extraction Techniques Used in Data Mining Ė A Literature Survey
ABSTRACT: Data Mining technique is capable to process the huge quantity of data. The DM applications contain dataset with huge dimensionality.The performance of the machine learning algorithms get corrupted¬† when we have huge dimensionality and this problem can be resolved using a technique called Dimensionality Reduction (DR). DR is an necessary preprocessing technique in DM to reduce the high dimensionality. In DR,¬† Feature Extraction is the important ¬†techniques ¬†to ¬†mine ¬†the ¬†most ¬†important ¬†features. ¬†The ¬†objective ¬†of ¬†this ¬†survey¬† is ¬†to ¬†provide ¬†a various feature extraction approaches to develop the classification accuracy. This review gives an overview of various feature extraction techniques.