Literature Review on Feature Subset Selection Techniques

Mr. Swapnil R Kumbhar, Mr.Suhel S Mulla

ABSTRACT Feature selection process involves identifying a subset of features that produces similar results as the original entire set of features. Feature selection, also known as attribute subset selection is similar used for dimensionality reduction; improve the classifier accuracy; removing irrelevant and redundant features. It is a research area of great practical significance and has been developed and evolved to answer the challenges due to data of increasingly high dimensionality. The main task in feature subset selection is removal of irrelevant features and eliminating redundant feature in accordance to getting quality feature subset. The feature selection algorithm is constructed with the consideration of efficiency and effectiveness point of view. The efficiency related to time required to find the subset of features. The effectiveness concerns with quality of subset produced. The objective of feature selections are improving the prediction performance of the predictors, providing accurate and immediate result. This paper review summarizes the various techniques of feature subset selection Keywords: Feature Selection, Redundancy, Relevance, Clustering, FCBF, ReliefF

Title:	Literature Review on Feature Subset Selection Techniques
Author Name:	Mr. Swapnil R Kumbhar, Mr.Suhel S Mulla
Abstract:	ABSTRACT Feature selection process involves identifying a subset of features that produces similar results as the original entire set of features. Feature selection, also known as attribute subset selection is similar used for dimensionality reduction; improve the classifier accuracy; removing irrelevant and redundant features. It is a research area of great practical significance and has been developed and evolved to answer the challenges due to data of increasingly high dimensionality. The main task in feature subset selection is removal of irrelevant features and eliminating redundant feature in accordance to getting quality feature subset. The feature selection algorithm is constructed with the consideration of efficiency and effectiveness point of view. The efficiency related to time required to find the subset of features. The effectiveness concerns with quality of subset produced. The objective of feature selections are improving the prediction performance of the predictors, providing accurate and immediate result. This paper review summarizes the various techniques of feature subset selection Keywords: Feature Selection, Redundancy, Relevance, Clustering, FCBF, ReliefF
Cite this article:	Mr. Swapnil R Kumbhar, Mr.Suhel S Mulla , " Literature Review on Feature Subset Selection Techniques " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 9, September 2014 , pp. 231-233 , ISSN 2319 - 4847.
Full Text [PDF] Home