Feature Extraction Techniques Used in Data Mining – 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.